WEKO3
インデックスリンク
アイテム
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有声破裂音の代表パターンの学習的決定と、その計算機シミュレーション
https://bunkyo.repo.nii.ac.jp/records/3202
https://bunkyo.repo.nii.ac.jp/records/32028d64aeeb-ead8-4b62-8ffb-22d20f168da0
名前 / ファイル | ライセンス | アクション |
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BKSJ200005.pdf (1.2 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2011-02-22 | |||||
タイトル | ||||||
タイトル | 有声破裂音の代表パターンの学習的決定と、その計算機シミュレーション | |||||
タイトル | ||||||
タイトル | A Learning Method for the Determination of Prototypical Patterns of Voiced Affricates and its Computer Simulation | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題 | 有声破裂音 | |||||
キーワード | ||||||
主題 | 学習ベクトル量子化 | |||||
キーワード | ||||||
主題 | 代表パターン | |||||
キーワード | ||||||
主題 | 知覚 | |||||
キーワード | ||||||
主題 | パターンモデル | |||||
キーワード | ||||||
主題 | 再帰領域方程式 | |||||
キーワード | ||||||
主題 | 不動点探索形認識 | |||||
キーワード | ||||||
主題 | voiced affricates | |||||
キーワード | ||||||
主題 | learning vector quantization | |||||
キーワード | ||||||
主題 | prototypical pattern | |||||
キーワード | ||||||
主題 | perception | |||||
キーワード | ||||||
主題 | pattern-model | |||||
キーワード | ||||||
主題 | reflective domain equation | |||||
キーワード | ||||||
主題 | recognition of fixed-point searching type | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
鈴木, 昇一
× 鈴木, 昇一× 前田, 英明 |
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著者 | ||||||
Suzuki, Shoichi | ||||||
著者 | ||||||
Maeda, Hideaki | ||||||
所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
文教大学情報学部 | ||||||
所属機関 | ||||||
Bunkyo University Faculty of Information and Communications | ||||||
所属機関 | ||||||
Bunkyo University Faculty of Information and Communications | ||||||
内容記述 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | 最小距離分類器、最大相関分類器、最近近傍分類器、不動点探索形構造受精多段階帰納推理の働きでパターン認識を行うシステムRECOGNITRONなどでは、典型としての代表パターンを中心とした緩やかなカテゴリを想定している。本研究では、9つの有声破裂音 /ba/, /be/, /bo/, /da/, /de/, /do/, /ga/, /ge/, /go/を全カテゴリ集合とする場合を想定し、この場合の代表パターンの集合Ωが、Kohonenの学習ベクトル量子化法を多少簡単化して得られたアルゴリズムを用いて決定されている。このアルゴリズムで使われる減少関数α(t)が新しく提案されている。得られた結果は人の耳で聞く限り、大旨良好である。 \n A minimum-distance classifier, a maximum-correlation classifier, a nearest neighbor classifier and RECOGNITRON (multi-stage inductive-inference recognition-system using structural fertilization transformations of fixed-point searching type) must postulate a gentle definition of each category having a prototypical pattern as a centroid. We adopt nine voiced affricates (/ba/, /be/, /bo/, /da/, /de/, do/, /ga/, /ge/, /go/) as a whole set of categories, and prototypical patterns in this case were determined by a simplified algorithm of the learning vector quantization LVQ proposed by Kohonen. A new decreasing function α (t) needed in this algorithm was used here. Its simulation result which reproduced the obtained voices by means of a speaker of personal computer Macintosh IIcx was to some extent satisfactory as long as we listened to them. |
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書誌情報 |
情報研究 en : Information and Communication Studies 巻 20, p. 77-95, 発行日 1998-01-01 |
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ISSN | ||||||
収録物識別子 | 03893367 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
本文言語 | ||||||
日本語 | ||||||
ID | ||||||
BKSJ200005 | ||||||
作成日 | ||||||
日付 | 2011-02-22 |