A speech recognition system based on dynamic characterization of background noise

被引：0

作者：

Beritelli, Francesco ^{[1
]}

Casale, Salvatore ^{[1
]}

Russo, Alessandra ^{[1
]}

Serrano, Salvatore ^{[1
]}

机构：

[1] Univ Catania, Dipartimento Ingn Informat Telecommun, Viale Andrea Doria, I-95125 Catania, Italy

来源：

2006 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY, VOLS 1 AND 2 | 2006年

关键词：

D O I：

10.1109/ISSPIT.2006.270928

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Robustness of Automatic Speech Recognition (ASR) systems in realistic conditions of background noise is the essential conditions for their ample diffusion. As we know, the systems which exist at present suffer, however, a notable decrease in performance in the presence of background noise. In this article we propose an ASR system based on a dynamic characterization of background noise. In particular, the system makes a dynamic choice of HMM model related to the different types of noise and corresponding to different signal to noise ratios (SNR). The system was implemented and the tests performed using the AURORA2 database. The results were compared with a non-adaptive classification system in the presence of clean conditions and 4 different types of background noise and with 6 different SNRs. The proposed ASR system was found to be particularly adapted to applications functioning in extremely noisy contexts.

引用

页码：914 / +

页数：2

共 11 条

[1] Sequential estimation with optimal forgetting for robust speech recognition [J].

Afify, M ;

Siohan, O .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2004, 12 (01) :19-26

[2]

[Anonymous], IEEE INTERNATIONAL C

[3]

[Anonymous], 2012, ROBUSTNESS AUTOMATIC

[4]

Beritelli F, 2005, 2005 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), VOLS 1 AND 2, P773

[5]

BERITELLI F, 1998, IEEE INT WORKSH INT, P451

[6] Noise spectrum estimation in adverse environments: Improved minima controlled recursive averaging [J].

Cohen, I .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2003, 11 (05) :466-475

[7] Noise robust speech recognition using feature compensation based on polynomial fly regression of utterance SNR [J].

Cui, XD ;

Alwan, A .

IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 2005, 13 (06) :1161-1172

[8] Frame level noise classification in mobile environments [J].

El-Maleh, K ;

Samouelian, A ;

Kabal, P .

ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 1999, :237-240

[9] SPEECH RECOGNITION IN NOISY ENVIRONMENTS - A SURVEY [J].

GONG, YF .

SPEECH COMMUNICATION, 1995, 16 (03) :261-291

[10]

Pearce D., 2000, ISCA ITRW ASR2000, P29

← 1 2 →