Speech reconstruction from mel-frequency cepstral coefficients using a source-filter model

Ben P. Milner, Xu Shao

Research output: Contribution to conferencePaper

31 Citations (Scopus)


This work presents a method of reconstructing a speech signal from a stream of MFCC vectors using a source-filter model of speech production. The MFCC vectors are used to provide an estimate of the vocal tract filter. This is achieved by inverting the MFCC vector back to a smoothed estimate of the magnitude spectrum. The Wiener- Khintchine theorem and linear predictive analysis transform this into an estimate of the vocal tract filter coefficients. The excitation signal is produced from a series of pitch pulses or white noise, depending on whether the speech is voiced or unvoiced. This pitch estimate forms an extra element of the feature vector. Listening tests reveal that the reconstructed speech is intelligible and of similar quality to a system based on LPC analysis of the original speech. Spectrograms of the MFCC-derived speech and the real speech are included which confirm the similarity.
Original languageEnglish
Number of pages4
Publication statusPublished - Sep 2002
Event7th International Conference on Spoken Language Processing (ICSLP-2002) - Denver, United States
Duration: 16 Sep 200220 Sep 2002


Conference7th International Conference on Spoken Language Processing (ICSLP-2002)
Country/TerritoryUnited States

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