Výsledky vyhledávání - "Miichi Yamada"

Akademický článek

Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

Autor: Futoshi Asano, Kiyoshi Yamamoto, Jun Ogata, Masami Nakamura, Miichi Yamada

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2007)

When applying automatic speech recognition (ASR) to meeting recordings including spontaneous speech, the performance of ASR is greatly reduced by the overlap of speech events. In this paper, a method of separating the overlapping speech events by usi

Externí odkaz: https://doaj.org/article/9659404b432f4266855907287f25bb81

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Detection and Separation of Speech Events in Meeting Recordings Using a Microphone Array

Autor: Jun Ogata, Masami Nakamura, Miichi Yamada, Futoshi Asano, Kiyoshi Yamamoto

Publikováno v: EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007, Iss 1, p 027616 (2007)
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2007)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02104e01d853bb3918a6e8d17a7c5903
https://doi.org/10.1155/2007/27616

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Unsupervised acoustic model adaptation algorithm using MLLR in a noisy environment

Autor: Yuuichiro Mera, Shinichi Yoshizawa, Akira Baba, Miichi Yamada, Hiroshi Saruwatari, Kiyohiro Shikano, Akinobu Lee

Publikováno v: Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 89:48-58

This paper proposes an unsupervised noisy environment adaptation algorithm based on the HMM acoustic model, using MLLR and a multispeaker database. An arbitrary single sentence uttered by the target speaker, together with living room noise, is used a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d171561313e3c9f144b9b195f4dd736
https://doi.org/10.1002/ecjc.20227

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Unsupervised training of phoneme models using HMM sufficient statistics and a speaker distance function

Autor: Akira Baba, Akinobu Lee, Kiyohiro Shikano, Kanako Matsunami, Shinichi Yoshizawa, Yuichiro Mera, Miichi Yamada

Publikováno v: Electronics and Communications in Japan (Part III: Fundamental Electronic Science). 88:33-41

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84957219570c5d479a202b8ba85b9c3c
https://doi.org/10.1002/ecjc.20188

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Acoustic models of the elderly for large-vocabulary continuous speech recognition

Autor: Akira Baba, Akinobu Lee, Shinichi Yoshizawa, Miichi Yamada, Kiyohiro Shikano

Publikováno v: Electronics and Communications in Japan (Part II: Electronics). 87:49-57

Widespread use of large-vocabulary continuous speech recognition systems has recently occurred, encouraging the application of speech recognition techniques to various problems. One of the factors that adversely affect the performance of speech recog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9020e02a21a83ec9d38f65d73f43d3f0
https://doi.org/10.1002/ecjb.20101

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Elderly acoustic model for large vocabulary continuous speech recognition

Autor: Akira Baba, Shinichi Yoshizawa, Miichi Yamada, Akinobu Lee, Kiyohiro Shikano

Publikováno v: 7th European Conference on Speech Communication and Technology (Eurospeech 2001).

In this paper, we evaluate elderly speaker acoustic models in LVCSR, which are trained by the 301 elderly speakers' database from the age of 60 to 90. Each speaker utters 200 sentences. The elderly speaker PTM (Phonetic Tied Mixture) acoustic model a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24637e42203969b2bd5f26b9aa19a7ec
https://doi.org/10.21437/eurospeech.2001-206

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Evaluation on unsupervised speaker adaptation based on sufficient HMM statictics of selected speakers

Autor: Shinichi, Yoshizawa, Akira, Baba, Kanako, Matsunami, Yuichiro, Mera, Miichi, Yamada, Akinobu, Lee, Kiyohiro, Shikano

Publikováno v: 7th European Conference on Speech Communication and Technology (Eurospeech 2001).

This paper describes an efficient method of unsupervised speaker adaptation. This method is based on (1) selecting a subset of speakers who are acoustically close to a test speaker, and (2) calculating adapted model parameters according to the previo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c97c83d04e3b4348946011d1b5b5e618
https://doi.org/10.21437/eurospeech.2001-317

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Unsupervised Noisy Environment Adaptation Algorithm Using MLLR and Speaker Selection

Autor: Miichi Yamada, Akira Baba, Shinichi Yoshizawa, Yuichiro Mera, Akinobu Lee, Hiroshi Saruwatari, Kiyohiro Shikano

An unsupervised acoustic model adaptation algorithm using MLLR and speaker selection for noisy environments is proposed. The proposed algorithm requires only one arbitrary utterance and environmental noise data. The adaptation procedure is composed o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c76f82823d3aaf01d8f22002cad52666
http://hdl.handle.net/10061/7961

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Large Vocablary Cnotinuous Speech Recognition Performance in Car Environments for Various Phoneme Models

Autor: Miichi Yamada, Katsumi Nishitani, Satoshi Nakamura, Kiyohiro Shikano

This paper describes the continuous speech recognition performance in the car environments. Especially various kinds of phoneme models are evaluated. Since the speech recognition performance considerably degrades in the noisy environments, we must co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::129f35c6b2f0f0fe71a29c06342bb326
http://hdl.handle.net/10061/8281

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