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1. (WO2006082868) METHOD AND SYSTEM FOR IDENTIFYING SPEECH SOUND AND NON-SPEECH SOUND IN AN ENVIRONMENT
Latest bibliographic data on file with the International Bureau   

Pub. No.:    WO/2006/082868    International Application No.:    PCT/JP2006/301707
Publication Date: 10.08.2006 International Filing Date: 26.01.2006
IPC:
G10L 21/02 (2006.01), G10L 11/02 (2006.01)
Applicants: MATSUSHITA ELECTRIC INDUSTRIAL CO., LTD. [JP/JP]; 1006, Oaza Kadoma, Kadoma-shi, Osaka, 5718501 (JP) (For All Designated States Except US).
YEN, Chia-Shin; (For US Only).
WU, Chien-Ming; (For US Only).
LIN, Che-Ming; (For US Only)
Inventors: YEN, Chia-Shin; .
WU, Chien-Ming; .
LIN, Che-Ming;
Agent: KAWAMIYA, Osamu; AOYAMA & PARTNERS, IMP Building, 3-7, Shiromi 1-chome, Chuo-ku, Osaka-shi, Osaka, 5400001 (JP)
Priority Data:
200510006463.X 01.02.2005 CN
Title (EN) METHOD AND SYSTEM FOR IDENTIFYING SPEECH SOUND AND NON-SPEECH SOUND IN AN ENVIRONMENT
(FR) PROCEDE ET SYSTEME D'IDENTIFICATION D'UN SON VOCAL ET D'UN SON NON VOCAL DANS UN ENVIRONNEMENT
Abstract: front page image
(EN)In a method and system for identifying speech sound and non-speech sound in an environment, a speech signal and other non-speech signals are identified from a mixed sound source having a plurality of channels. The method includes the following steps: (a) using a blind source separation (BSS) unit to separate the mixed sound source into a plurality of sound signals; (b) storing spectrum of each of the sound signals; (c) calculating spectrum fluctuation of each of the sound signals in accordance with stored past spectrum information and current spectrum information sent from the blind source separation unit; and (d) identifying one of the sound signals that has a largest spectrum fluctuation as the speech signal.
(FR)Dans un procédé et un système d'identification d'un son vocal et d'un son non vocal dans un environnement, un signal vocal et d'autres signaux non vocaux sont identifiés à partir d'une source sonore mixte ayant une pluralité de canaux. Le procédé comprend les étapes suivantes: (a) utilisation d'une unité de séparation aveugle de sources afin de séparer la source sonore mixte en une pluralité de signaux sonores; (b) mémorisation du spectre de chaque signal sonore; (c) calcul de la fluctuation du spectre de chaque signal sonore conformément à l'information du spectre antérieur mémorisée et à l'information de spectre actuel envoyée depuis l'unité de séparation aveugle de sources, et (d) identification d'un des signaux sonores qui a la plus grande fluctuation de spectre comme étant le signal vocal.
Designated States: AE, AG, AL, AM, AT, AU, AZ, BA, BB, BG, BR, BW, BY, BZ, CA, CH, CN, CO, CR, CU, CZ, DE, DK, DM, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LC, LK, LR, LS, LT, LU, LV, LY, MA, MD, MG, MK, MN, MW, MX, MZ, NA, NG, NI, NO, NZ, OM, PG, PH, PL, PT, RO, RU, SC, SD, SE, SG, SK, SL, SM, SY, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, YU, ZA, ZM, ZW.
African Regional Intellectual Property Organization (BW, GH, GM, KE, LS, MW, MZ, NA, SD, SL, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM)
European Patent Office (AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HU, IE, IS, IT, LT, LU, LV, MC, NL, PL, PT, RO, SE, SI, SK, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, ML, MR, NE, SN, TD, TG).
Publication Language: English (EN)
Filing Language: English (EN)