کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
753274 1462396 2016 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Real-time blind source separation system with applications to distant speech recognition
ترجمه فارسی عنوان
سیستم جداسازی منبع کور در زمان واقعی با برنامه های کاربردی برای تشخیص گفتار دور
کلمات کلیدی
جداسازی منبع کور، تشخیص گفتار دور دوت
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
چکیده انگلیسی

A real-time BSS system based on DUET was developed and implemented in order to assess its potential as the front-end for a DSR engine. The system uses only two closely-spaced standard omni-directional microphones and a computer soundcard and was developed for low reverberation environments with several human speakers and different noise sources.A novel multi-source real-time audio streaming module was developed, with arbitrary statistics, movement tracking, continuity cues such as position and cross-correlation, a spurious peak classifier stage based on kurtosis, and spectral subtraction post-processing.Two intrinsic error causes for the binaural attenuation and delay estimators were identified, due to FFT spectral leakage and to sibilants, which violate the taken for granted DUET assumptions. A comprehensive study on time windows was done and new window types proposed in order to minimize the DUET assumptions violations.The implemented system correctly identifies the clusters in the binaural estimators’ space for the case of a real room with two human speakers, up to distances of 2 m from the two microphones, although for distances greater than 1 m the separation quality quickly degrades.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Acoustics - Volume 113, 1 December 2016, Pages 170–184
نویسندگان
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