000181696 001__ 181696
000181696 005__ 20190316235505.0
000181696 037__ $$aCONF
000181696 245__ $$aFar-field Continuous Speech Recognition System based on Speaker Localization and Sub-band Beamformin
000181696 269__ $$a2008
000181696 260__ $$c2008
000181696 336__ $$aConference Papers
000181696 520__ $$aThis paper proposes a Distant Speech Recognition system based on a novel speaker Localization and Beamforming (SRLB) algorithm. To localize the speaker an algorithm based on Steered Response Power by utilizing harmonic structures of speech signal is proposed. This new scheme has the ability of speaker verification by fundamental frequency variation; therefore it can be utilized in the design of a speech recognition system for verified speakers. Then the performance of the Farsi speech recognition engine is evaluated under notorious conditions of noise and reverberation. Simulation results and tests on real data shows that by utilizing proposed localization scheme, recognition accuracy improves by 28% in high noise and reverberant conditions compared to the accuracy of single channel recognition. The capability of this algorithm in localizing a verified speaker improves system robustness to speech noises and reduces recognition errors up to %52 in the presence of speech noise.
000181696 6531_ $$aDistant Speech Recognition, Beamforming, Source Localization
000181696 700__ $$0243353$$g188259$$aAsaei, Afsaneh
000181696 700__ $$g193629$$0246036$$aTaghizadeh, Mohammadjavad
000181696 700__ $$aSameti, Hossein
000181696 7112_ $$dApril$$cDoha, Qatar$$aThe 6th International ACS/IEEE Conference on Computer Systems and Applications
000181696 8564_ $$uhttps://infoscience.epfl.ch/record/181696/files/ASR_Beamforming.pdf$$zn/a$$s606247$$yn/a
000181696 909C0 $$xU10381$$0252189$$pLIDIAP
000181696 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:181696$$pSTI
000181696 917Z8 $$x188259
000181696 937__ $$aEPFL-CONF-181696
000181696 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000181696 980__ $$aCONF