Automatic Speech Recognition Used for Intelligibility Assessment of Text-to-Speech Systems

Authors:
Robert Vích;Jan Nouza;Martin Vondra
Affiliations:
Institute of Photonics and Electronics, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic CZ 18251;Institute of Information Technology and Electronics, Technical University of Liberec, Liberec, Czech Republic CZ 46117;Institute of Photonics and Electronics, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic CZ 18251
Venue:
Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
Year:
2008

Citing 5
Cited 1

Discrete Time Processing of Speech Signals

Discrete Time Processing of Speech Signals
Voice and Speech Quality Perception: Assessment and Evaluation (Signals and Communication Technology)

Voice and Speech Quality Perception: Assessment and Evaluation (Signals and Communication Technology)
Non-linear frequency scale mapping for voice conversion in text-to-speech system with cepstral description

Speech Communication
A system for information retrieval from large records of czech spoken data

TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Speech identity conversion

Nonlinear Speech Modeling and Applications

Using TTS for fast prototyping of cross-lingual ASR applications

COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment

Quantified Score

Hi-index	0.00

Visualization

Abstract

Speech intelligibility is the most important parameter in evaluation of speech quality. In the contribution, a new objective intelligibility assessment of general speech processing algorithms is proposed. It is based on automatic recognition methods developed for discrete and fluent speech processing. The idea is illustrated on two case studies: a) comparison of listening evaluation of Czech rhyme tests with automatic discrete speech recognition and b) automatic continuous speech recognition of general topic Czech texts read by professional and nonprofessional speakers vs. the same texts generated by several Czech Text-to-Speech systems. The aim of the proposed approach is fast and objective intelligibility assessment of Czech Text-to-Speech systems, which include male and female voices and a voice conversion module.