Robust Speech Recognition Based on Dereverberation Parameter Optimization Using Acoustic Model Likelihood
نویسندگان
چکیده
منابع مشابه
Phone-based filter parameter optimization of filter and sum robust speech recognition using likelihood maximization
Because of noise and reverberation, accuracy of speech recognition systems decreases when the distance between talker and microphone increases. By the using of microphone arrays and appropriate filtering of received signals, the accuracy of recognizer can be increased. Many different methods for using microphone arrays have been proposed that can be classified into two main approaches: systems ...
متن کاملOptimization of dereverberation parameters based on likelihood of speech recognizer
Speech recognition under reverberant condition is a difficult task. Most dereverberation techniques used to address this problem enhance the reverberant waveform independent from that of the speech recognizer. In this paper, we improve the conventional Spectral Subtraction-based (SS) dereverberation technique. In our proposed approach, the dereverberation parameters are optimized to improve the...
متن کاملAn improved wavelet-based dereverberation for robust automatic speech recognition
This paper presents an improved wavelet-based dereverberation method for automatic speech recognition (ASR). Dereverberation is based on filtering reverberant wavelet coefficients with the Wiener gains to suppress the effect of the late reflections. Optimization of the wavelet parameters using acoustic model enables the system to estimate the clean speech and late reflections effectively. This ...
متن کاملAcoustic Model Optimization for Multilingual Speech Recognition
Due to abundant resources not always being available for resource-limited languages, training an acoustic model with unbalanced training data for multilingual speech recognition is an interesting research issue. In this paper, we propose a three-step data-driven phone clustering method to train a multilingual acoustic model. The first step is to obtain a clustering rule of context independent p...
متن کاملRobust Speech Recognition using Model
Maintaining a high level of robustness for Automatic Speech Recognition (ASR) systems is especially challenging when the background noise has a time-varying nature. We have implemented a Model-Based Feature Enhancement (MBFE) technique that not only can easily be embedded in the feature extraction module of a recogniser, but also is intrinsically suited for the removal of non-stationary additiv...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Audio, Speech, and Language Processing
سال: 2010
ISSN: 1558-7916,1558-7924
DOI: 10.1109/tasl.2010.2052610