抄録
ATR's CHATR is a corpus-based text-to-speech (TTS) synthesis system that selects concatenation units from a natural speech database. The system's approach enables us to create a voice output communication aid (VOCA) using the voices of individuals who are anticipating the loss of phonatory functions. The advantage of CHATR is that individuals can use their own voice for communication even after vocal loss. This paper reports on a case study of the development of a VOCA using recordings of Japanese read speech (i.e., oral reading) from an individual with amyotrophic lateral sclerosis (ALS). In addition to using the individual's speech, we designed a speech database that could reproduce the characteristics of natural utterances in both general and specific situations. We created three speech corpora in Japanese to synthesize ordinary daily speech (i.e., in a normal speaking style): (1) a phonetically balanced sentence set, to assure that the system was able to synthesize all speech sounds; (2) readings of manuscripts, written by the same individual, for synthesizing talks regularly given as a source of natural intonation, articulation and voice quality; and (3) words and short phrases, to provide daily vocabulary entries for reproducing natural utterances in predictable situations. By combining one or more corpora, we were able to create four kinds of source database for CHATR synthesis. Using each source database, we synthesized speech from six test sentences. We selected the source database to use by observing selected units of synthesized speech and by performing perceptual experiments where we presented the speech to 20 Japanese native speakers. Analyzing the results of both observations and evaluations, we selected a source database compiled from all corpora. Incorporating CHATR, the selected source database, and an input acceleration function, we developed a VOCA for the individual to use in his daily life. We also created emotional speech source databases designed for loading separately to the VOCA in addition to the compiled speech database.
| 元の言語 | English |
|---|---|
| ページ（範囲） | 379-392 |
| ページ数 | 14 |
| ジャーナル | International Journal of Speech Technology |
| 巻 | 6 |
| 発行部数 | 4 |
| DOI | |
| 出版物ステータス | Published - 2003 10 1 |
| 外部発表 | Yes |
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ASJC Scopus subject areas
- Software
- Language and Linguistics
- Human-Computer Interaction
- Linguistics and Language
- Computer Vision and Pattern Recognition
これを引用
Speech Database Design for a Concatenative Text-to-Speech Synthesis System for Individuals with Communication Disorders. / Ishii, Akemi; Campbell, Nick.
：: International Journal of Speech Technology, 巻 6, 番号 4, 01.10.2003, p. 379-392.研究成果: Article
}
TY - JOUR
T1 - Speech Database Design for a Concatenative Text-to-Speech Synthesis System for Individuals with Communication Disorders
AU - Ishii, Akemi
AU - Campbell, Nick
PY - 2003/10/1
Y1 - 2003/10/1
N2 - ATR's CHATR is a corpus-based text-to-speech (TTS) synthesis system that selects concatenation units from a natural speech database. The system's approach enables us to create a voice output communication aid (VOCA) using the voices of individuals who are anticipating the loss of phonatory functions. The advantage of CHATR is that individuals can use their own voice for communication even after vocal loss. This paper reports on a case study of the development of a VOCA using recordings of Japanese read speech (i.e., oral reading) from an individual with amyotrophic lateral sclerosis (ALS). In addition to using the individual's speech, we designed a speech database that could reproduce the characteristics of natural utterances in both general and specific situations. We created three speech corpora in Japanese to synthesize ordinary daily speech (i.e., in a normal speaking style): (1) a phonetically balanced sentence set, to assure that the system was able to synthesize all speech sounds; (2) readings of manuscripts, written by the same individual, for synthesizing talks regularly given as a source of natural intonation, articulation and voice quality; and (3) words and short phrases, to provide daily vocabulary entries for reproducing natural utterances in predictable situations. By combining one or more corpora, we were able to create four kinds of source database for CHATR synthesis. Using each source database, we synthesized speech from six test sentences. We selected the source database to use by observing selected units of synthesized speech and by performing perceptual experiments where we presented the speech to 20 Japanese native speakers. Analyzing the results of both observations and evaluations, we selected a source database compiled from all corpora. Incorporating CHATR, the selected source database, and an input acceleration function, we developed a VOCA for the individual to use in his daily life. We also created emotional speech source databases designed for loading separately to the VOCA in addition to the compiled speech database.
AB - ATR's CHATR is a corpus-based text-to-speech (TTS) synthesis system that selects concatenation units from a natural speech database. The system's approach enables us to create a voice output communication aid (VOCA) using the voices of individuals who are anticipating the loss of phonatory functions. The advantage of CHATR is that individuals can use their own voice for communication even after vocal loss. This paper reports on a case study of the development of a VOCA using recordings of Japanese read speech (i.e., oral reading) from an individual with amyotrophic lateral sclerosis (ALS). In addition to using the individual's speech, we designed a speech database that could reproduce the characteristics of natural utterances in both general and specific situations. We created three speech corpora in Japanese to synthesize ordinary daily speech (i.e., in a normal speaking style): (1) a phonetically balanced sentence set, to assure that the system was able to synthesize all speech sounds; (2) readings of manuscripts, written by the same individual, for synthesizing talks regularly given as a source of natural intonation, articulation and voice quality; and (3) words and short phrases, to provide daily vocabulary entries for reproducing natural utterances in predictable situations. By combining one or more corpora, we were able to create four kinds of source database for CHATR synthesis. Using each source database, we synthesized speech from six test sentences. We selected the source database to use by observing selected units of synthesized speech and by performing perceptual experiments where we presented the speech to 20 Japanese native speakers. Analyzing the results of both observations and evaluations, we selected a source database compiled from all corpora. Incorporating CHATR, the selected source database, and an input acceleration function, we developed a VOCA for the individual to use in his daily life. We also created emotional speech source databases designed for loading separately to the VOCA in addition to the compiled speech database.
KW - AAC
KW - Communication disorder
KW - Corpus-based TTS synthesis
KW - Speech corpus
KW - VOCA
UR - http://www.scopus.com/inward/record.url?scp=0142153901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0142153901&partnerID=8YFLogxK
U2 - 10.1023/A:1025761017833
DO - 10.1023/A:1025761017833
M3 - Article
AN - SCOPUS:0142153901
VL - 6
SP - 379
EP - 392
JO - International Journal of Speech Technology
JF - International Journal of Speech Technology
SN - 1381-2416
IS - 4
ER -