Effect of MPEG Audio Compression on HMM-Based Speech Synthesis

Bajibabu Bollepalli; Tuomo Raitio; Paavo Alku

Effect of MPEG Audio Compression on HMM-Based Speech Synthesis

Bajibabu Bollepalli, Tuomo Raitio, Paavo Alku

Institute of Language, Cognition and Computation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, the effect of MPEG audio compression on HMM-based speech synthesis is studied. Speech signals are encoded with various compression rates and analyzed using the GlottHMM vocoder. Objective evaluation results show that the vocoder parameters start to degrade from encoding with bit-rates of 32 kbit/s or less, which is also confirmed by the subjective evaluation of the vocoder analysis-synthesis quality. Experiments with HMM-based speech synthesis show that the subjective quality of a synthetic voice trained with 32 kbit/s speech is comparable to a voice trained with uncompressed speech, but lower bit rates induce clear degradation in quality.

Original language	English
Title of host publication	INTERSPEECH 2013 14th Annual Conference of the International Speech Communication Association
Publisher	International Speech Communication Association
Pages	1062-1066
Number of pages	5
Publication status	Published - 2013

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http://www.isca-speech.org/archive/interspeech_2013/i13_1062.html

Simple4All: Speech synthesis that improves through adaptive learning
King, S. & Renals, S.
EU government bodies
1/11/11 → 31/10/14
Project: Research

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@inproceedings{874c0380d2204fc39dd7cc241dbec52d,

title = "Effect of MPEG Audio Compression on HMM-Based Speech Synthesis",

abstract = "In this paper, the effect of MPEG audio compression on HMM-based speech synthesis is studied. Speech signals are encoded with various compression rates and analyzed using the GlottHMM vocoder. Objective evaluation results show that the vocoder parameters start to degrade from encoding with bit-rates of 32 kbit/s or less, which is also confirmed by the subjective evaluation of the vocoder analysis-synthesis quality. Experiments with HMM-based speech synthesis show that the subjective quality of a synthetic voice trained with 32 kbit/s speech is comparable to a voice trained with uncompressed speech, but lower bit rates induce clear degradation in quality. ",

author = "Bajibabu Bollepalli and Tuomo Raitio and Paavo Alku",

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publisher = "International Speech Communication Association",

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AU - Bollepalli, Bajibabu

AU - Raitio, Tuomo

AU - Alku, Paavo

PY - 2013

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N2 - In this paper, the effect of MPEG audio compression on HMM-based speech synthesis is studied. Speech signals are encoded with various compression rates and analyzed using the GlottHMM vocoder. Objective evaluation results show that the vocoder parameters start to degrade from encoding with bit-rates of 32 kbit/s or less, which is also confirmed by the subjective evaluation of the vocoder analysis-synthesis quality. Experiments with HMM-based speech synthesis show that the subjective quality of a synthetic voice trained with 32 kbit/s speech is comparable to a voice trained with uncompressed speech, but lower bit rates induce clear degradation in quality.

AB - In this paper, the effect of MPEG audio compression on HMM-based speech synthesis is studied. Speech signals are encoded with various compression rates and analyzed using the GlottHMM vocoder. Objective evaluation results show that the vocoder parameters start to degrade from encoding with bit-rates of 32 kbit/s or less, which is also confirmed by the subjective evaluation of the vocoder analysis-synthesis quality. Experiments with HMM-based speech synthesis show that the subjective quality of a synthetic voice trained with 32 kbit/s speech is comparable to a voice trained with uncompressed speech, but lower bit rates induce clear degradation in quality.

M3 - Conference contribution

SP - 1062

EP - 1066

BT - INTERSPEECH 2013 14th Annual Conference of the International Speech Communication Association

PB - International Speech Communication Association

ER -

Effect of MPEG Audio Compression on HMM-Based Speech Synthesis

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Simple4All: Speech synthesis that improves through adaptive learning

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