Re: tone detection

Hi Jan,

following your line of thought I inspected the silence durations which 
as you point out are very precise.

I used ffmpeg to plot the silences and one [ the last ] has a unique value.

once I have this point which is different in each file because of 
streaming delay variation, I can trim the audio.

again I used ffmpeg which I think is what sox uses anyway.

the out cue point being human has a little more hysteresis [slop]

I am getting perfect results 100% for the opening and 92% for the closings.

Which is as good as it was when we did these things live.

Thanks for your input.

regards

Robert

On 31/05/21 3:45 am, Jan Stary wrote:
> On May 30 09:53:04, [email protected] wrote:
>> On 30/05/21 4:48 am, Jan Stary wrote:
>>> But perhaps you could use the pips as the silence/nonsilence
>>> cutting point - surely the pips are at very regular intervals.
>>
>> Exactly what I want to do.
> No.
>
>> They are 1kHz;
> What I propose ignores the pip frequency.
>
>> 5 of 100ms and one of 500ms
> And how long is the silence between them?
>
> 	Jan
>
>
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Robert Jeffares
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