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Development of an adaptive array based on subband signal processing

Development of an adaptive array based on subband signal pro...

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2000年第五届国际天线、电波传播与电磁理论学术会议

作者： Yukihiro Kamiya acr.atr.co.jp Satoshi Denno acr.atr.co.jp Yoshihiko Mizuguchi acr.atr.co.jp Masaaki Katayama Akira Ogawa Yoshio Karasawa atr adaptive commun. res. labs. 2-2 hikaridai Seikacho Sorakugun Kyoto 619-0288 Japan y-kamiya atr adaptive commun. res. labs. 2-2 hikaridai Seikacho Sorakugun Kyoto 619-0288 Japan y-kamiya atr adaptive commun. res. labs. 2-2 hikaridai Seikacho Sorakugun Kyoto 619-0288 Japan y-kamiya Department of Information Electronics Nagoya University Department of Information Electronics Nagoya University Department of Electrical Engineering The University of Electro-commun.cations

＜正＞ adaptive arrays are recognized as a solution to multipath fading environments that can be a serious problem in high-speed mobile commun.cation systems. However, huge computational loads are required due to its spatio-temporal signal processing. Subband signal processing has been known as a parallel signal processing scheme on the frequency domain. It allows us to allocate heavy computational loads to several processors when it is implemented in DSPs （Digital Signal Processor） or

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ANALYSIS OF ACOUSTIC MODELS TRAINED ON A LARGE-SCALE JAPANESE SPEECH DATABASE

ANALYSIS OF ACOUSTIC MODELS TRAINED ON A LARGE-SCALE JAPANES...

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6～(th) International Conference on Spoken Language Processing

作者： TomokoMatsui MasakiNaito YoshinoriSagisaka KozoOkuda SatoshiNakamura atr Spoken Language Translation res.arch labs.2-2-2 HikaridaiSeika-choSoraku-gunKyoto 619-0288 Japan atr Spoken Language Translation res.arch labs.2-2-2 HikaridaiSeika-choSoraku-gunKyoto 619-0288 Japan atr Spoken Language Translation res.arch labs.2-2-2 HikaridaiSeika-choSoraku-gunKyoto 619-0288 Japan atr Spoken Language Translation res.arch labs.2-2-2 HikaridaiSeika-choSoraku-gunKyoto 619-0288 Japan

＜正＞This paper investigates the performance of speaker-independent （SI） acoustic hidden-Markov-models （HMMs） trained with a huge Japanese speech database, and discusses the efficiency and task-independency involved. The database consists of read and spontaneous speech uttered by 3,771 speakers. The speech involves wide distributions with res.ect to region and age to capture the Japanese speech characteristics as best as possible. Recognition experiments using the spontaneous speech show that task-independent acoustic models can be created when training data with a huge number of speakers is available.

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PRONUNCIATION VARIANTS DESCRIPTION USING RECOGNITION ERROR MODELING WITH PHONETIC DERIVATION HYPOTHESES

PRONUNCIATION VARIANTS DESCRIPTION USING RECOGNITION ERROR M...

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6～(th) International Conference on Spoken Language Processing

作者： Hideharu Nakajima Yoshinori Sagiska Hirofumi Yamamoto atr Spoken Language Translation res.arch labs 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan atr Spoken Language Translation res.arch labs 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan atr Spoken Language Translation res.arch labs 2-2-2 Hikaridai Seika-cho Soraku-gun Kyoto 619-0288 Japan

＜正＞ This paper proposes a new method of pronunciation vartant gencration for reducing word error rata in conversational speech recognition. In particular, this paper focuses on the generation of alternative pronunciations from canonical forms by using the phonological knowl- edge derived from the analysis of a phonetic transcription corpus. The experimental res.lts show that the pronunciation variation generated by the proposed method provides slightly better performance than a method based on manually written pronunciation. These res.lts also demonstrate the applicability of phonological knowledge-based generation of pronunciation variation.

关键词： speech variants multiple pronunciation gen-eration phonological knowledge corpus based approach

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