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D-2, 情報・システム. 2, パターン処理","bibliographic_titleLang":"ja"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"本文ではHMM（Hidden Markov Model）に基づく極低ビットレート音声符号化について述べている． 符号化器側では， HMMによる音素認識を行い， 復号化器に音素インデックス列， 状態継続長， ピッチ情報を伝送する． 復号化器側では， 音素インデックス列に従い音素HMMを連結する． そして， 連結したHMMから， 状態継続長に従って， ゆう度最大化基準による音声パラメータ生成アルゴリズムにより， メルケプストラム列を生成する． 最後に， 生成されたメルケプストラムを係数としてもつMLSA（Mel Log Spectrum Approximation）フィルタを， ピッチ情報に従って励振することによって合成音声を得る． 主観評価実験の結果， ピッチ情報を除いて146 bit/s（26％の無音区間を含む）の提案方式により， 同じくピッチ情報を除いて400 bit/s（8 bit/frame × 50 frame/s）の ベクトル量子化に基づくボコーダと同等の性能を得ることができた．","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"familyNames":[{"familyName":"Tokuda","familyNameLang":"en"},{"familyName":"徳田","familyNameLang":"ja"},{"familyName":"トクダ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Keiichi","givenNameLang":"en"},{"givenName":"恵一","givenNameLang":"ja"},{"givenName":"ケイイチ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"464","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000020217483","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000020217483"}],"names":[{"name":"Tokuda, Keiichi","nameLang":"en"},{"name":"徳田, 恵一","nameLang":"ja"},{"name":"トクダ, ケイイチ","nameLang":"ja-Kana"}]},{"nameIdentifiers":[{"nameIdentifier":"3028","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Kitamura, 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