> So you are trying to make the voice sound like you had not added the > pink noise in the first place?Yes.>Can you give some idea what your > relative speech/noise levels are?SNR is 5dB> Where did the whitening filter come from?The whitening filter is necessary to obtain a signal that drives the vocal tract filter.> When you turn the noise level down and analyze/synthesize the waveforms > do the original (clean) signal and reconstructed signal look similar on > a point-by-point basis?When there is no noise the original signal and reconstructed signal are equal to eachother.
evaluation of speech enhancement algorithm. How?
Started by ●September 28, 2005
Reply by ●September 29, 20052005-09-29
Reply by ●September 29, 20052005-09-29
Hi Have you tried distance measures like the 'Itakuro-Saito distance measure'? Regards Nithin Lars Hansen wrote:> Hello, > > What are the standard methods for testing the quality of the output from a > speech enhancement algorithm? > > I read that segmental SNR can be used, but that requires that I choose a set > of frames where I _know_ that the frame contains speech. Isn't that cheating > anyway? I would argue that the variance of the difference between the clean > speech signal and the estimated speech signal is a better performance factor > as it truly tells you how well your estimated speech signal matches the > clean speech signal..... or am I wrong? > > I am also interested in knowing if there are any programs out there that > will process the output (wav-file) from my speech enhancement algorithm and > give a score with respect to speech recognition. Is that possible? > > Thanks in advance :o)
Reply by ●September 29, 20052005-09-29
news:1128020548.868193.250250@g14g2000cwa.googlegroups.com...> Hi > Have you tried distance measures like the 'Itakuro-Saito distance > measure'? >No....not yet...I have just downloaded some matlab-scripts to perform the measure you refer to. What is it about?
Reply by ●October 6, 20052005-10-06
Hi It is complex distance measure which compares two speech samples and determines how closely they match. lower the measure , better the match I guess. Although, while doing this it may be better to find the distance measures of each of the segments and average them out using a filter. In that case, you would know which segment actually behaved very badly. Nithin Lars Hansen wrote:> news:1128020548.868193.250250@g14g2000cwa.googlegroups.com... > > Hi > > Have you tried distance measures like the 'Itakuro-Saito distance > > measure'? > > > > > No....not yet...I have just downloaded some matlab-scripts to perform the > measure you refer to. What is it about?






