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1. (WO2017130387) SPEECH RECOGNITION DEVICE
Latest bibliographic data on file with the International Bureau

Pub. No.: WO/2017/130387 International Application No.: PCT/JP2016/052724
Publication Date: 03.08.2017 International Filing Date: 29.01.2016
IPC:
G10L 15/07 (2013.01)
G PHYSICS
10
MUSICAL INSTRUMENTS; ACOUSTICS
L
SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
15
Speech recognition
06
Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
065
Adaptation
07
to the speaker
Applicants:
三菱電機株式会社 MITSUBISHI ELECTRIC CORPORATION [JP/JP]; 東京都千代田区丸の内二丁目7番3号 7-3, Marunouchi 2-chome, Chiyoda-ku, Tokyo 1008310, JP
Inventors:
金川 裕紀 KANAGAWA, Hiroki; JP
太刀岡 勇気 TACHIOKA, Yuki; JP
Agent:
田澤 英昭 TAZAWA, Hideaki; JP
Priority Data:
Title (EN) SPEECH RECOGNITION DEVICE
(FR) DISPOSITIF DE RECONNAISSANCE VOCALE
(JA) 音声認識装置
Abstract:
(EN) A means (103) for calculating the contribution degree of a basis matrix uses a basis matrix (106) to calculate the contribution degree (107) of the basis matrix. A means (202) for applying weight to the basis matrix uses the weight (206) of the basis matrix, the contribution degree (107) of the basis matrix, and the basis matrix (106) to generate a conversion matrix (207) obtained by applying weighting to the basis matrix. A means (203) for applying the matrix to feature value data uses the conversion matrix (207) to turn test data (206) into converted test data (208). A decoding means (204) compares the converted test data (208) with an acoustic model (105) to perform speech recognition.
(FR) Selon l'invention, un moyen (103) de calcul du degré de contribution d'une matrice de base utilise une matrice de base (106) pour calculer le degré de contribution (107) de la matrice de base. Un moyen (202) d'application d'une pondération à la matrice de base utilise la pondération (206) de la matrice de base, le degré de contribution (107) de la matrice de base, et la matrice de base (106) pour produire une matrice de conversion (207) obtenue en appliquant une pondération à la matrice de base. Un moyen (203) d'application de la matrice à des données de valeur caractéristique utilise la matrice de conversion (207) pour transformer des données de test (206) en données de test converties (208). Un moyen de décodage (204) compare les données de test converties (208) avec un modèle acoustique (105) pour effectuer une reconnaissance vocale.
(JA) 基底行列の寄与度計算手段(103)は、基底行列(106)を用いて、基底行列の寄与度(107)を算出する。基底行列への重み適用手段202は、基底行列の重み(206)と、基底行列の寄与度(107)と、基底行列(106)とを用いて、基底行列への重み付けを行った変換行列(207)を生成する。特徴量データへの行列適用手段(203)は、変換行列(207)を用いて、テストデータ(206)を変換済みテストデータ(208)とする。デコード手段(204)は、変換済みテストデータ(208)と音響モデル(105)とを照合して音声認識を行う。
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Japanese (JA)
Filing Language: Japanese (JA)