Voice presence or absence detection

I have an application that samples about 30 seconds of audio, 16 bit,
22050 samples per second. I would like to determine if there is a
human voice signal present or not. With my limited knowledge, I would
remove a DC offset on the entire signal, compute a 512 point FFT in a
window that slides over the data. I would then check to see if the
frequencies present correspond to those found in the human voice. This
simplistic approach is probably not going to produce good
discrimination.

Does anyone know of a non-patented algorithm that can detect voice
presence or lack thereof. The signal to noise ratio can range from
very good to very poor.

Thanks in advance. Start a New Thread

human voice will range from 300 - 3300 Hz, a filter first will eliminate
most of the irrelevant information.

then u can think of calculating the pitch of the signal,

if it is a human voice, the frequency spectrum will have peaks at the pitch
frequency and its harmonics.....

this may be a good approach...

Pradeep

On 6/25/07, Peter Gien wrote:
>
> I have an application that samples about 30 seconds of audio, 16 bit,
> 22050 samples per second. I would like to determine if there is a
> human voice signal present or not. With my limited knowledge, I would
> remove a DC offset on the entire signal, compute a 512 point FFT in a
> window that slides over the data. I would then check to see if the
> frequencies present correspond to those found in the human voice. This
> simplistic approach is probably not going to produce good
> discrimination.
>
> Does anyone know of a non-patented algorithm that can detect voice
> presence or lack thereof. The signal to noise ratio can range from
> very good to very poor.
>
> Thanks in advance.
>

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If fate doesnt make u laugh, then u just dont get the joke..... Start a New Thread