University of Illinois Urbana-Champaign

Speech synthesis using Mel-Cepstral coefficient feature

Wang, Lu

Content Files
ECE499-Sp2018-wang-Lu.pdf

Permalink

https://hdl.handle.net/2142/100043

Description

Title
Speech synthesis using Mel-Cepstral coefficient feature
Author(s)
Wang, Lu
Contributor(s)
Hasegawa-Johnson, Mark
Issue Date
2018-05
Keyword(s)
  • Speech Synthesis
  • Cepstrum Analysis
Date of Ingest
2018-05-25T16:56:56Z
Abstract
This thesis presents a method to improve quality of synthesized speech by reducing the vocoded effect. The synthesis model takes mel-cepstral coefficients and spectrum envelopes as features of the original speech waveform. Mel-cepstral coefficients could be used to generate natural sounding voice and reduce the artificial effect. Compared to regular linear predictive coding (LPC) coefficient which is also widely used in speech synthesis, the mel-cepstral coefficient could resemble the human voice more closely by providing the synthesized speech with more details in the low frequency band. The model uses a synthesis filter to estimate the log spectrum including both zeros and poles in the transfer function, along with the mixed excitation technique which could divide speech signals into multiple frequency bands to better approximate natural speech production.
Type of Resource
text
Genre of Resource
Other
Language
en
Permalink
http://hdl.handle.net/2142/100043

Owning Collections

Senior Theses - Electrical and Computer Engineering PRIMARY
The best of ECE undergraduate research