DocumentCode :
730660
Title :
Vocaine the vocoder and applications in speech synthesis
Author :
Agiomyrgiannakis, Yannis
Author_Institution :
Google, London, UK
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
4230
Lastpage :
4234
Abstract :
Vocoders received renewed attention recently as basic components in speech synthesis applications such as voice transformation, voice conversion and statistical parametric speech synthesis. This paper presents a new vocoder synthesizer, referred to as Vocaine, that features a novel Amplitude Modulated-Frequency Modulated (AM-FM) speech model, a new way to synthesize non-stationary sinusoids using quadratic phase splines and a super fast cosine generator. Extensive evaluations are made against several state-of-the-art methods in Copy-Synthesis and Text-To-Speech synthesis experiments. Vocaine matches or outperforms STRAIGHT in Copy-Synthesis experiments and outperforms our baseline real-time optimized Mixed-Excitation vocoder with the same computational cost. We report that Vocaine considerably improves our statistical TTS synthesizers and that our new statistical parametric synthesizer [1] matched the quality of our mature production Unit-Selection system with uncompressed waveforms.
Keywords :
amplitude modulation; frequency modulation; speech synthesis; vocoders; AM-FM speech model; Vocaine; amplitude modulated-frequency modulated speech model; baseline real-time optimized mixed-excitation vocoder; copy-synthesis; non-stationary sinusoids; quadratic phase splines; statistical TTS synthesizers; statistical parametric speech synthesis; statistical parametric synthesizer; super fast cosine generator; text-to-speech synthesis experiments; uncompressed waveforms; unit-selection system; voice conversion; voice transformation; Hidden Markov models; Speech; Speech synthesis; Synthesizers; Vocoders; AM-FM; fast cosine generators; non-stationary; overlap-add; phase models; sinusoidal speech models; statistical parametric speech synthesis; text-to-speech; vocoders;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178768
Filename :
7178768
Link To Document :
بازگشت