Periodicity and missing feature theory in audition 1.1 The aim
نویسنده
چکیده
1.1 The aim 1 Harmonicity and spectral envelope Alain de Cheveigné (CNRS/ATR-HIP)
منابع مشابه
Leak energy based missing feature mask generation for ICA and GSS and its evaluation with simultaneous speech recognition
This paper addresses automatic speech recognition (ASR) for robots integrated with sound source separation (SSS) by using leak noise based missing feature mask generation. The missing feature theory (MFT) is a promising approach to improve noise-robustness of ASR. An issue in MFT-based ASR is automatic generation of the missing feature mask. To improve robot audition, we applied this theory to ...
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Performance of speech recognition systems is greatly reduced when speech corrupted by noise. One common method for robust speech recognition systems is missing feature methods. In this way, the components in time - frequency representation of signal (Spectrogram) that present low signal to noise ratio (SNR), are tagged as missing and deleted then replaced by remained components and statistical ...
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