Articulo
The use of Locally Normalized Cepstral Coefficients (LNCC) to improve speaker recognition accuracy in highly reverberant rooms
17TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2016), VOLS 1-5: UNDERSTANDING SPEECH PROCESSING IN HUMANS AND MACHINES
Registro en:
1151306
1151306
Autor
Poblete, Víctor
Escudero-López, Juan Pablo
Fredes-Sandoval, Josue Abraham
Novoa-Ilic, José Eduardo
Stern, Richard M
King, Simón
Becerra-Yoma, Néstor Jorge
Institución
Resumen
We describe the ability of LNCC features (Locally Normalized Cepstral Coefficients) to improve speaker recognition accuracy in highly reverberant environments. We used a realistic test environment, in which we changed the number and nature of reflective surfaces in the room, creating four increasingly reverberant times from approximately 1 to 9 seconds. In this room, we re-recorded reverberated versions of the Yoho speaker verification corpus. The recordings were made using four speaker-to-microphone distances, from 0.32m to 2.56m. Experimental results for a speaker verification task suggest that LNCC features are an attractive alternative to MFCC features under such reverberant conditions, as they were observed to improve verification accuracy compared to baseline MFCC features in all cases where the reverberation time exceeded 1 second or with a greater speaker-microphone distance (i.e. 2.56 m). Regular 2015 FONDECYT FONDECYT