July 2026 Newsletter - LDC
Penn LDC via Corpora <[email protected]> Wed, 15 Jul 2026 14:31:55 +0000
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--===============5788192565136502589== Content-Language: en-US Content-Type: multipart/alternative; boundary="_000_BN0PR10MB50295919A09C53CF0FC6BCB3F9F82BN0PR10MB5029namp_" --_000_BN0PR10MB50295919A09C53CF0FC6BCB3F9F82BN0PR10MB5029namp_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable In this newsletter: Fall 2026 LDC data scholarship program New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn= .edu/LDC2026S09> CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2= 026S08> CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.= ldc.upenn.edu/LDC2026L05> ________________________________ Fall 2026 LDC data scholarship program Student applications for the Fall 2026 LDC data scholarship program are bei= ng accepted now through September 15, 2026. This program provides eligible = students with no-cost access to LDC data. Students must complete an applica= tion consisting of a data use proposal and letter of support from their adv= isor. For application requirements and program rules, visit the LDC Data Sc= holarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarsh= ips> page. ________________________________ New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn= .edu/LDC2026S09> was developed by LDC and NIST and contains 10,321 hours of= English conversational telephone speech and in-person recorded studio sess= ions for evaluation and modeling, along with answer keys, trial files, and = documentation from the NIST-sponsored 2012 Speaker Recognition Evaluation (= SRE12)<https://www.nist.gov/itl/iad/mltg/speaker-recognition-evaluation-201= 2>. SRE12 introduced a revised evaluation structure in which training data = for target speakers was drawn from prior SRE corpora developed by LDC and w= as provided in advance of the evaluation period. Test data was drawn from Mixer 7 English Speech (LDC2025S08)<https://catalo= g.ldc.upenn.edu/LDC2025S08> and REMIX Telephone Collection (LDC2023S09)<htt= ps://catalog.ldc.upenn.edu/LDC2023S09>. Those datasets also provided segmen= ts for modeling data; other modeling segments were drawn from Mixer 3 Speec= h (LDC2023S02)<https://catalog.ldc.upenn.edu/LDC2023S02>, Mixer 4 and 5 Spe= ech (LDC2020S03)<https://catalog.ldc.upenn.edu/LDC2020S03>, and Mixer 6 Spe= ech (LDC2013S03)<https://catalog.ldc.upenn.edu/LDC2013S03>. The test data c= ontains English speech only; some non-English speech is contained in modeli= ng segments. This release is comprised of 130,844 test segments, specifically, 83,778 ca= ll segments and 47,066 interview segments. Modeling data consists of 46,948= segments. 2026 members can access this corpus through their LDC accounts. Non-members= may license this data for a fee. * CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2= 026S08> was developed by LDC and contains 56 hours of speech from 120 unscr= ipted telephone conversations between native American English speakers. Thi= s publication is a re-release of the original CALLHOME American English col= lection, combining CALLHOME American English Speech (LDC97S42)<https://cata= log.ldc.upenn.edu/LDC97S42> and CALLHOME American English Transcripts (LDC9= 7T14)<https://catalog.ldc.upenn.edu/LDC97T14>, with additional transcriptio= n and updated directory structure, file formats, and documentation. This release contains the 120 telephone conversations published in CALLHOME= American English Speech which represented training and development data an= d a subset of evaluation data. Participants spoke on topics of their choice= in a single telephone call lasting up to 30 minutes. Calls were manually a= udited for gender, language, recording quality, channel characteristics, di= alect, and region. For this second edition, all audio was converted from SP= HERE files to FLAC format, and the original training/development/evaluation= partitioning was removed. This release also features revised transcripts conforming to updated LDC tr= anscription guidelines that addressed normalization of annotation formats, = standardization of speaker-produced and background noises, application of f= oreign-language marking, whitespace cleanup, and corrections and consistenc= y fixes. The CALLHOME series consists of telephone conversations and transcripts dev= eloped by LDC and Rutgers, The State University of New Jersey, in support o= f research in speaker identification, language identification, and related = technologies. Languages in the series include American English, Egyptian Ar= abic, German, Japanese, Mandarin Chinese, and Spanish. 2026 members can access this corpus through their LDC accounts. Non-members= may license this data for a fee. * CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.= ldc.upenn.edu/LDC2026L05> was developed by LDC and contains 90,988 English = words with citation-form pronunciations. This second edition updates file f= ormats, directory structure, and documentation. The first edition is availa= ble as CALLHOME American English Lexicon (PRONLEX) (LDC97L20)<https://catal= og.ldc.upenn.edu/LDC97L20>. The words in the lexicon were derived from Wall Street Journal text used in= the continuous speech recognition publication series CSR-1 WSJ0 Complete (= LDC93S6A<https://catalog.ldc.upenn.edu/LDC93S6A>), transcripts<https://isip= .piconepress.com/projects/switchboard/> from the Switchboard telephone coll= ection (LDC97S62)<https://catalog.ldc.upenn.edu/LDC97S62>, and transcripts = representing unscripted telephone conversations between native American Eng= lish speakers contained in CALLHOME American English Second Edition (LDC202= 6S08)<https://catalog.ldc.upenn.edu/LDC2026S08>. PRONLEX transcription is a phonemic transcription system designed to suppor= t speech recognition by providing a consistent and simplified representatio= n of how words are pronounced in standard American English that allows vari= ation to be generated later to avoid listing many pronunciation variations = for each word. This single systematic base form can be expanded through rul= es or modeling. The transcription was created using a modified ARPABET phon= eme set<https://learnius.com/slp/3+Speech+Production%2C+Perception+and+Phon= etics/4+Phonetics/2+Phonetic+Alphabet/ARPAbet>. The lexicon contains three tab-separated information fields: (1) word: orth= ographic representation of word; (2) pron: transcribed citation-form pronun= ciations using modified ARPABET phoneme set; and (3) comments: (OPTIONAL) c= omment on the entry. It is presented as a tab-delimited TSV file encoded in= UTF-8 format and includes a pronunciation dictionary derived from the lexi= con in UTF-8 encoded CMUdict<https://stdlib.io/docs/api/latest/@stdlib/data= sets/cmudict> format. 2026 members can access this corpus through their LDC accounts provided the= y have submitted a completed copy of the special license agreement. Non-mem= bers may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://cat= alog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" = under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: [email protected]<mailto:[email protected]> M: 3600 Market St. Suite 810 Philadelphia, PA 19104 --_000_BN0PR10MB50295919A09C53CF0FC6BCB3F9F82BN0PR10MB5029namp_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable <html xmlns:v=3D"urn:schemas-microsoft-com:vml" xmlns:o=3D"urn:schemas-micr= osoft-com:office:office" xmlns:w=3D"urn:schemas-microsoft-com:office:word" = xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" xmlns=3D"http:= //www.w3.org/TR/REC-html40"> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"= > <meta name=3D"Generator" content=3D"Microsoft Word 15 (filtered medium)"> <!--[if !mso]><style>v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} </style><![endif]--><style><!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4;} @font-face {font-family:Aptos;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {margin:0in; font-size:12.0pt; font-family:"Aptos",sans-serif; mso-ligatures:standardcontextual;} a:link, span.MsoHyperlink {mso-style-priority:99; color:#467886; text-decoration:underline;} span.EmailStyle17 {mso-style-type:personal-compose; font-family:"Aptos",sans-serif; color:windowtext;} .MsoChpDefault {mso-style-type:export-only;} @page WordSection1 {size:8.5in 11.0in; margin:1.0in 1.0in 1.0in 1.0in;} div.WordSection1 {page:WordSection1;} --></style><!--[if gte mso 9]><xml> <o:shapedefaults v:ext=3D"edit" spidmax=3D"1026" /> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext=3D"edit"> <o:idmap v:ext=3D"edit" data=3D"1" /> </o:shapelayout></xml><![endif]--> </head> <body lang=3D"EN-US" link=3D"#467886" vlink=3D"#96607D" style=3D"word-wrap:= break-word"> <div class=3D"WordSection1"> <p class=3D"MsoNormal"><i><span style=3D"font-size:11.0pt">In this newslett= er: <br> </span></i><b><span style=3D"font-size:11.0pt">Fall 2026 LDC data scholarsh= ip program <o:p></o:p></span></b></p> <p class=3D"MsoNormal"><b><span style=3D"font-size:11.0pt"> &nbs= p; = </span></b><i><span style=3D"font-size:11.0pt"><br> New publications:<br> </span></i><span style=3D"font-size:11.0pt"><a href=3D"https://catalog.ldc.= upenn.edu/LDC2026S09">2012 NIST Speaker Recognition Evaluation Test Set</a>= <i><br> </i><a href=3D"https://catalog.ldc.upenn.edu/LDC2026S08">CALLHOME American = English Second Edition</a><i><br> </i><a href=3D"https://catalog.ldc.upenn.edu/LDC2026L05">CALLHOME American = English Lexicon (PRONLEX) Second Edition</a><br> <br> <b><o:p></o:p></b></span></p> <div class=3D"MsoNormal" align=3D"center" style=3D"text-align:center"><a na= me=3D"_Hlk215751265"></a><a name=3D"_Hlk215750926"><span style=3D"mso-bookm= ark:_Hlk215751265"><b><span style=3D"font-size:11.0pt"> <hr size=3D"2" width=3D"100%" noshade=3D"" style=3D"color:black" align=3D"c= enter"> </span></b></span></a></div> <p class=3D"MsoNormal"><span style=3D"mso-bookmark:_Hlk215750926"><span sty= le=3D"mso-bookmark:_Hlk215751265"><b><span style=3D"font-size:11.0pt">Fall = 2026 LDC data scholarship program <br> </span></b></span></span><span style=3D"mso-bookmark:_Hlk215750926"><span s= tyle=3D"mso-bookmark:_Hlk215751265"><span style=3D"font-size:11.0pt">Studen= t applications for the Fall 2026 LDC data scholarship program are being acc= epted now through September 15, 2026. This program provides eligible students with no-cost a= ccess to LDC data. Students must complete an application con= sisting of a data use proposal and letter of support from their advisor. Fo= r application requirements and program rules, visit the </span></span>= </span><a href=3D"https://www.ldc.upenn.edu/language-resources/data/data-sc= holarships"><span style=3D"mso-bookmark:_Hlk215750926"><span style=3D"mso-b= ookmark:_Hlk215751265"><span style=3D"font-size:11.0pt">LDC Data Scholarships</span></span></span><span style=3D"mso-bookmark:_Hlk2157= 50926"><span style=3D"mso-bookmark:_Hlk215751265"></span></span></a><span s= tyle=3D"mso-bookmark:_Hlk215750926"><span style=3D"mso-bookmark:_Hlk2157512= 65"><span style=3D"font-size:11.0pt"> page.<b> </b></span></span></spa= n><b><span style=3D"font-size:11.0pt"><o:p></o:p></span></b></p> <div class=3D"MsoNormal" align=3D"center" style=3D"text-align:center"><b><s= pan style=3D"font-size:11.0pt"> <hr size=3D"2" width=3D"100%" noshade=3D"" style=3D"color:black" align=3D"c= enter"> </span></b></div> <p class=3D"MsoNormal"><i><span style=3D"font-size:11.0pt"><br> New publications:<a name=3D"_Hlk100573448"></a><a name=3D"_Hlk97739035"></a= ><a name=3D"_Hlk97739153"></a><a name=3D"_Hlk216348385"><span style=3D"mso-= bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><br> </span></span></span></a></span></i><span style=3D"mso-bookmark:_Hlk2163483= 85"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_= Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"></span></span></spa= n></span><a href=3D"https://catalog.ldc.upenn.edu/LDC2026S09"><span style= =3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><= span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk10= 0573448"><span style=3D"font-size:11.0pt">2012 NIST Speaker Recognition Evaluation Test Set</span></span></span></span></= span><span style=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark= :_Hlk97739153"><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso= -bookmark:_Hlk100573448"></span></span></span></span></a><span style=3D"mso= -bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span st= yle=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448= "><span style=3D"font-size:11.0pt"> was developed by LDC and NIST and contains 10,321 hours of English convers= ational telephone speech and in-person recorded studio sessions for evaluat= ion and modeling, along with answer keys, trial files, and documentation fr= om the NIST-sponsored </span></span></span></span></span><a href=3D"https://www.nist.gov/itl/iad/= mltg/speaker-recognition-evaluation-2012"><span style=3D"mso-bookmark:_Hlk2= 16348385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-book= mark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style= =3D"font-size:11.0pt">2012 Speaker Recognition Evaluation (SRE12)</span></span></span></span></span><= span style=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk9= 7739153"><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookm= ark:_Hlk100573448"></span></span></span></span></a><span style=3D"mso-bookm= ark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D= "mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><spa= n style=3D"font-size:11.0pt">. SRE12 introduced a revised evaluation structure in which training data for= target speakers was drawn from prior SRE corpora developed by LDC and was = provided in advance of the evaluation period. <i><br> <br> </i>Test data was drawn from Mixer 7 English Speech </span></span></span></= span></span><a href=3D"https://catalog.ldc.upenn.edu/LDC2025S08"><span styl= e=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153">= <span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk1= 00573448"><span style=3D"font-size:11.0pt">(LDC2025S08)</span></span></span= ></span></span><span style=3D"mso-bookmark:_Hlk216348385"><span style=3D"ms= o-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_Hlk97739035"><span st= yle=3D"mso-bookmark:_Hlk100573448"></span></span></span></span></a><span st= yle=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153= "><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hl= k100573448"><span style=3D"font-size:11.0pt"> and REMIX Telephone Collection </span></span></span></span></span><a href= =3D"https://catalog.ldc.upenn.edu/LDC2023S09"><span style=3D"mso-bookmark:_= Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-= bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span sty= le=3D"font-size:11.0pt">(LDC2023S09)</span></span></span></span></span><spa= n style=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk9773= 9153"><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark= :_Hlk100573448"></span></span></span></span></a><span style=3D"mso-bookmark= :_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"ms= o-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span s= tyle=3D"font-size:11.0pt">. Those datasets also provided segments for modeling data; other modeling se= gments were drawn from Mixer 3 Speech </span></span></span></span></span><a href=3D"https://catalog.ldc.upenn.edu= /LDC2023S02"><span style=3D"mso-bookmark:_Hlk216348385"><span style=3D"mso-= bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><span style=3D"font-size:11.0pt">(LDC2023S= 02)</span></span></span></span></span><span style=3D"mso-bookmark:_Hlk21634= 8385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark= :_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"></span></span></s= pan></span></a><span style=3D"mso-bookmark:_Hlk216348385"><span style=3D"ms= o-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_Hlk97739035"><span st= yle=3D"mso-bookmark:_Hlk100573448"><span style=3D"font-size:11.0pt">, Mixer 4 and 5 Speech </span></span></span></span></span><a href=3D"https:/= /catalog.ldc.upenn.edu/LDC2020S03"><span style=3D"mso-bookmark:_Hlk21634838= 5"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_H= lk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"font-= size:11.0pt">(LDC2020S03)</span></span></span></span></span><span style=3D"= mso-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span= style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573= 448"></span></span></span></span></a><span style=3D"mso-bookmark:_Hlk216348= 385"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:= _Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"fon= t-size:11.0pt">, and Mixer 6 Speech </span></span></span></span></span><a href=3D"https://c= atalog.ldc.upenn.edu/LDC2013S03"><span style=3D"mso-bookmark:_Hlk216348385"= ><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_Hlk= 97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"font-si= ze:11.0pt">(LDC2013S03)</span></span></span></span></span><span style=3D"ms= o-bookmark:_Hlk216348385"><span style=3D"mso-bookmark:_Hlk97739153"><span s= tyle=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk10057344= 8"></span></span></span></span></a><span style=3D"mso-bookmark:_Hlk21634838= 5"><span style=3D"mso-bookmark:_Hlk97739153"><span style=3D"mso-bookmark:_H= lk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"font-= size:11.0pt">. The test data contains English speech only; some non-English speech is con= tained in modeling segments.<i><br> <br> </i>This release is comprised of 130,844 test segments, specifically, 83,77= 8 call segments and 47,066 interview segments. Modeling data consists of 46= ,948 segments.<i><br> <br> </i>2026 members can access this corpus through their LDC accounts. Non-mem= bers may license this data for a fee.<br> <br> <b><o:p></o:p></b></span></span></span></span></span></p> <span style=3D"mso-bookmark:_Hlk97739153"></span><span style=3D"mso-bookmar= k:_Hlk216348385"></span> <p class=3D"MsoNormal"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><a name=3D"_Hlk174374006"><span style=3D"f= ont-size:11.0pt">*</span></a><a name=3D"_Hlk119070711"><span style=3D"mso-b= ookmark:_Hlk174374006"><br> <br> </span></a></span></span><span style=3D"mso-bookmark:_Hlk97739035"><span st= yle=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk11907071= 1"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"font-size:11.0= pt"><o:p></o:p></span></span></span></span></span></p> <p class=3D"MsoNormal"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"= ><span style=3D"mso-bookmark:_Hlk174374006"></span></span></span></span><a = href=3D"https://catalog.ldc.upenn.edu/LDC2026S08"><span style=3D"mso-bookma= rk:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"= mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><spa= n style=3D"font-size:11.0pt">CALLHOME American English Second Edition</span></span></span></span></span><span st= yle=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448= "><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_H= lk174374006"></span></span></span></span></a><span style=3D"mso-bookmark:_H= lk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-b= ookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><span sty= le=3D"font-size:11.0pt"> was developed by LDC and contains 56 hours of speech from 120 unscripted telep= hone conversations between native American English speakers. This publicati= on is a re-release of the original CALLHOME American English collection, co= mbining CALLHOME American English Speech </span></span></span></span></span><a href=3D"https://catalog.ldc.u= penn.edu/LDC97S42"><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D= "mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><sp= an style=3D"mso-bookmark:_Hlk174374006"><span style=3D"font-size:11.0pt">(L= DC97S42)</span></span></span></span></span><span style=3D"mso-bookmark:_Hlk= 97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-boo= kmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"></span></sp= an></span></span></a><span style=3D"mso-bookmark:_Hlk97739035"><span style= =3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711">= <span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"font-size:11.0pt"= > and CALLHOME American English Transcripts </span></span></span></span></sp= an><a href=3D"https://catalog.ldc.upenn.edu/LDC97T14"><span style=3D"mso-bo= okmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style= =3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006">= <span style=3D"font-size:11.0pt">(LDC97T14)</span></span></span></span></sp= an><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_H= lk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-= bookmark:_Hlk174374006"></span></span></span></span></a><span style=3D"mso-= bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span sty= le=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006= "><span style=3D"font-size:11.0pt">, with additional transcription and updated directory structure, file format= s, and documentation.<br> <br> This release contains the 120 telephone conversations published in CALLHOME= American English Speech which represented training and development data an= d a subset of evaluation data. Participants spoke on topics of their choice= in a single telephone call lasting up to 30 minutes. Calls were manually audited for gender, language, record= ing quality, channel characteristics, dialect, and region. For this second = edition, all audio was converted from SPHERE files to FLAC format, and the = original training/development/evaluation partitioning was removed. <br> <br> This release also features revised transcripts conforming to updated LDC tr= anscription guidelines that addressed normalization of annotation formats, = standardization of speaker-produced and background noises, application of f= oreign-language marking, whitespace cleanup, and corrections and consistency fixes.<br> <br> The CALLHOME series consists of telephone conversations and transcripts dev= eloped by LDC and Rutgers, The State University of New Jersey, in support o= f research in speaker identification, language identification, and related = technologies. Languages in the series include American English, Egyptian Arabic, German, Japanese, Mandarin Chin= ese, and Spanish.<br> <br> 2026 members can access this corpus through their LDC accounts. Non-members= may license this data for a fee.<br> <br> <o:p></o:p></span></span></span></span></span></p> <p class=3D"MsoNormal"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"= ><span style=3D"mso-bookmark:_Hlk174374006"><a name=3D"_Hlk219206384"></a><= a name=3D"_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span s= tyle=3D"font-size:11.0pt">*<br> <br> <o:p></o:p></span></span></a></span></span></span></span></p> <p class=3D"MsoNormal"><span style=3D"mso-bookmark:_Hlk97739035"><span styl= e=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"= ><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hl= k174372776"><span style=3D"mso-bookmark:_Hlk219206384"></span></span></span= ></span></span></span><a href=3D"https://catalog.ldc.upenn.edu/LDC2026L05">= <span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk1= 00573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-boo= kmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style= =3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size:11.0pt">CALLHOME American English Lexicon (PRONLEX) Second Edition</span></span></span></sp= an></span></span></span><span style=3D"mso-bookmark:_Hlk97739035"><span sty= le=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711= "><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_H= lk174372776"><span style=3D"mso-bookmark:_Hlk219206384"></span></span></spa= n></span></span></span></a><span style=3D"mso-bookmark:_Hlk97739035"><span = style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070= 711"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark= :_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"f= ont-size:11.0pt"> was developed by LDC and contains 90,988 English words with citation-form = pronunciations. This second edition updates file formats, directory structu= re, and documentation. The first edition is available as CALLHOME American = English Lexicon (PRONLEX) </span></span></span></span></span></span></span><a href=3D"https://catalog= .ldc.upenn.edu/LDC97L20"><span style=3D"mso-bookmark:_Hlk97739035"><span st= yle=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk11907071= 1"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_= Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"fon= t-size:11.0pt">(LDC97L20)</span></span></span></span></span></span></span><= span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk10= 0573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-book= mark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style= =3D"mso-bookmark:_Hlk219206384"></span></span></span></span></span></span><= /a><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_H= lk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-= bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span st= yle=3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size:11.0pt">. <br> <br> The words in the lexicon were derived from Wall Street Journal text used in= the continuous speech recognition publication series CSR-1 WSJ0 Complete (= </span></span></span></span></span></span></span><a href=3D"https://catalog= .ldc.upenn.edu/LDC93S6A"><span style=3D"mso-bookmark:_Hlk97739035"><span st= yle=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk11907071= 1"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_= Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"fon= t-size:11.0pt">LDC93S6A</span></span></span></span></span></span></span><sp= an style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk1005= 73448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookma= rk:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style=3D= "mso-bookmark:_Hlk219206384"></span></span></span></span></span></span></a>= <span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk1= 00573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-boo= kmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style= =3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size:11.0pt">), </span></span></span></span></span></span></span><a href=3D"https://isip.pi= conepress.com/projects/switchboard/"><span style=3D"mso-bookmark:_Hlk977390= 35"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:= _Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"ms= o-bookmark:_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span = style=3D"font-size:11.0pt">transcripts</span></span></span></span></span></= span></span><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bo= okmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span styl= e=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"= ><span style=3D"mso-bookmark:_Hlk219206384"></span></span></span></span></s= pan></span></a><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso= -bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span s= tyle=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk1743727= 76"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size:11.= 0pt"> from the Switchboard telephone collection </span></span></span></span></sp= an></span></span><a href=3D"https://catalog.ldc.upenn.edu/LDC97S62"><span s= tyle=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk10057344= 8"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_= Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style=3D"mso= -bookmark:_Hlk219206384"><span style=3D"font-size:11.0pt">(LDC97S62)</span>= </span></span></span></span></span></span><span style=3D"mso-bookmark:_Hlk9= 7739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-book= mark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><span style= =3D"mso-bookmark:_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384">= </span></span></span></span></span></span></a><span style=3D"mso-bookmark:_= Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-= bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><span st= yle=3D"mso-bookmark:_Hlk174372776"><span style=3D"mso-bookmark:_Hlk21920638= 4"><span style=3D"font-size:11.0pt">, and transcripts representing unscripted telephone conversations between na= tive American English speakers contained in CALLHOME American English Secon= d Edition </span></span></span></span></span></span></span><a href=3D"https://catalog= .ldc.upenn.edu/LDC2026S08"><span style=3D"mso-bookmark:_Hlk97739035"><span = style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070= 711"><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark= :_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"f= ont-size:11.0pt">(LDC2026S08)</span></span></span></span></span></span></sp= an><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_H= lk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-= bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span st= yle=3D"mso-bookmark:_Hlk219206384"></span></span></span></span></span></spa= n></a><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark= :_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"m= so-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372776"><span= style=3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size:11.0pt">.<br= > <br> PRONLEX transcription is a phonemic transcription system designed to suppor= t speech recognition by providing a consistent and simplified representatio= n of how words are pronounced in standard American English that allows vari= ation to be generated later to avoid listing many pronunciation variations for each word. This single systemati= c base form can be expanded through rules or modeling. The transcription wa= s created using a modified </span></span></span></span></span></span></span><a href=3D"https://learniu= s.com/slp/3+Speech+Production%2C+Perception+and+Phonetics/4+Phonetics/2+Pho= netic+Alphabet/ARPAbet"><span style=3D"mso-bookmark:_Hlk97739035"><span sty= le=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711= "><span style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_H= lk174372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"font= -size:11.0pt">ARPABET phoneme set</span></span></span></span></span></span></span><span style=3D= "mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><spa= n style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk1743= 74006"><span style=3D"mso-bookmark:_Hlk174372776"><span style=3D"mso-bookma= rk:_Hlk219206384"></span></span></span></span></span></span></a><span style= =3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><= span style=3D"mso-bookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk1= 74374006"><span style=3D"mso-bookmark:_Hlk174372776"><span style=3D"mso-boo= kmark:_Hlk219206384"><span style=3D"font-size:11.0pt">.<br> <br> The lexicon contains three tab-separated information fields: (1) word: orth= ographic representation of word; (2) pron: transcribed citation-form pronun= ciations using modified ARPABET phoneme set; and (3) comments: (OPTIONAL) c= omment on the entry. It is presented as a tab-delimited TSV file encoded in UTF-8 format and includes a pronunc= iation dictionary derived from the lexicon in UTF-8 encoded </span></span></span></span></span></span></span><a href=3D"https://stdlib.= io/docs/api/latest/@stdlib/datasets/cmudict"><span style=3D"mso-bookmark:_H= lk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><span style=3D"mso-b= ookmark:_Hlk119070711"><span style=3D"mso-bookmark:_Hlk174374006"><span sty= le=3D"mso-bookmark:_Hlk174372776"><span style=3D"mso-bookmark:_Hlk219206384= "><span style=3D"font-size:11.0pt">CMUdict</span></span></span></span></spa= n></span></span><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"ms= o-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><span = style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174372= 776"><span style=3D"mso-bookmark:_Hlk219206384"></span></span></span></span= ></span></span></a><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D= "mso-bookmark:_Hlk100573448"><span style=3D"mso-bookmark:_Hlk119070711"><sp= an style=3D"mso-bookmark:_Hlk174374006"><span style=3D"mso-bookmark:_Hlk174= 372776"><span style=3D"mso-bookmark:_Hlk219206384"><span style=3D"font-size= :11.0pt"> format. <br> <br> 2026 members can access this corpus through their LDC accounts provided the= y have submitted a completed copy of the special license agreement. Non-mem= bers may license this data for a fee.</span></span></span></span></span></s= pan></span><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-boo= kmark:_Hlk100573448"><span style=3D"font-size:11.0pt"><br> <br> <b>To unsubscribe from this newsletter, log in to your </b></span></span></= span><a href=3D"https://catalog.ldc.upenn.edu/login"><span style=3D"mso-boo= kmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"><b><span sty= le=3D"font-size:11.0pt">LDC account</span></b></span></span><span style=3D"= mso-bookmark:_Hlk97739035"><span style=3D"mso-bookmark:_Hlk100573448"></spa= n></span></a><span style=3D"mso-bookmark:_Hlk97739035"><span style=3D"mso-b= ookmark:_Hlk100573448"><b><span style=3D"font-size:11.0pt"> and uncheck the box next to “Receive Newsletter” under Account= Options or contact LDC for assistance. </span></b></span></span><span style=3D"mso-bookmark:_Hlk100573448"></span>= <span style=3D"mso-bookmark:_Hlk97739035"></span><span style=3D"font-size:1= 1.0pt"><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt"><o:p> </o:p></= span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt">Membership Coordina= tor<o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt"><a href=3D"ldc.upen= n.edu">Linguistic Data Consortium</a><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt">University of Penns= ylvania<o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt">T: +1-215-573-1275<= o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt">E: <a href=3D"mailt= o:[email protected]"> [email protected]</a><o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt">M: 3600 Market St. = Suite 810<o:p></o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt"> &= nbsp; Philadelphia, PA 19104 <o:p> </o:p></span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt"><o:p> </o:p></= span></p> <p class=3D"MsoNormal"><span style=3D"font-size:11.0pt"><o:p> </o:p></= span></p> <p class=3D"MsoNormal"><o:p> </o:p></p> </div> </body> </html> --_000_BN0PR10MB50295919A09C53CF0FC6BCB3F9F82BN0PR10MB5029namp_-- --===============5788192565136502589== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected] --===============5788192565136502589==--