Model-based blind estimation of reverberation time: application to robust ASR in reverberant environments

نویسندگان

  • Laurent Couvreur
  • Christophe Ris
  • Christophe Couvreur
چکیده

This paper presents a method for blind estimation of reverberation times in reverberant enclosures. The proposed algorithm is based on a statistical model of short-term log-energy sequences for echo-free speech. Given a speech utterance recorded in a reverberant room, it computes a Maximum Likelihood estimate of the room full-band reverberation time. The estimation method is shown to require little data and to perform satisfactorily. The method has been successfully applied to robust automatic speech recognition in reverberant environments by model selection. For this application, the reverberation time is first estimated from the reverberated speech utterance to be recognized. The estimation is then used to select the best acoustic model out of a library of models trained in various artificial reverberant conditions. Speech recognition experiments in simulated and real reverberant environments show the efficiency of our approach which outperforms standard channel normalization techniques.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Combined Approach for Estimating a Feature-domain Reverberation Model in Non-diffuse Environments

A combined approach for estimating a feature-domain reverberation model suitable for the robust distant-talking automatic speech recognition concept REMOS (REverberation MOdeling for Speech recognition) [1] is proposed. Based on a few calibration utterances recorded in the target environment, the combined approach employs ML estimation and blind estimation of the reverberation time to determine...

متن کامل

Robust Speech Recognition Using Optimized Wavelet Filtering in Reverberant Conditions

Speech recognition in reverberant environments is a difficult task. Reverberation has the effect of degradation of recognition performance due to acoustic mismatch. We present an optimization method of the wavelet parameters for dereverberation in automatic speech recognition (ASR). By tuning the wavelet parameters to improve the acoustic model likelihood, waveletbased dereverberation methods b...

متن کامل

An MTF-based blind restoration of temporal power envelopes as a front-end processor for automatic speech recognition systems in reverberant environments

To reduce speech degradation in reverberant environments, we previously proposed a modulation transfer function (MTF) based method of speech restoration. The room impulse response (RIR) in this restoration does not need to be measured at any time since we modeled the power envelope of the RIRs as an exponential decay function. Speech is assumed to be temporal modulated with white noise carrier ...

متن کامل

Reverberant speech recognition exploiting clarity index estimation

We present single-channel approaches to robust automatic speech recognition (ASR) in reverberant environments based on non-intrusive estimation of the clarity index (C50). Our best performing method includes the estimated value of C50 in the ASR feature vector and also uses C50 to select the most suitable ASR acoustic model according to the reverberation level. We evaluate our method on the REV...

متن کامل

Robust front end processing for speech recognition in reverberant environments: utilization of speech characteristics

This paper proposes two methods for robust automatic speech recognition (ASR) in reverberant environments. Unlike other methods which mostly apply inverse filtering by blindly estimated room impulse responses to achieve dereverberation, the proposed methods are based on the utilization of the characteristics of speech. The first method Harmonicity based Feature Analysis – takes advantage of the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2001