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We present an algorithm to dereverberate single-channel audio signals in both noisy and noise-free acoustical environments. Recently, the model-based dereverberation that use the statistical model for room impulse responses (RIRs) is considered to be a fairly attractive approach for reverberant speech, since existing model-based estimators show the late reverberant spectral variance (LRSV) is linear-related...
Cochlear implant is one of the most promising medical applications aiming to utmost restore deaf patients hearing. How to improve voice quality by using effectively algorithms has become a bottleneck. In our research, a new speech signal processing scheme is given based on Bark Wavelet Transform (BWT). This signal-processing strategy can non-uniformly separates the time-frequency space, which is similar...
In this paper, a method to predict fundamental frequency contour is proposed for mandarin text-to-speech system with a small corpus. Above all, in order to avoid large modification to the speech clips, two kinds of corpus, tonal syllable corpus and high-frequency word corpus, are established. Afterwards, we apply two rules to predict the pitch contour of speech. Firstly, traditional Fujisaki model...
In this paper, we implemented a multistage recognizer output voting error reduction (ROVER) method for better automatic speech recognition (ASR). The first stage ROVER is conducted by combining three recognizers, which are respectively trained with maximum likelihood estimation (MLE), minimum phone error (MPE) and recently proposed boosted maximum mutual information (BMMI) criteria. After that the...
Stream weight training is one of the key issues in the bimodal integration for the audio-visual speech recognition. In this paper, the audio- and video-only HMM classifiers are combined to recognize audio-visual speech recognition. More specifically, a discriminative training method is provided, in which the state-dependent stream weights are trained based on lattice rescoring by the minimum phone...
Discriminative training of Mandarin large vocabulary continuous speech recognition (LVCSR) has been remarkably improved in speech community recent years. However, much work still needs further investigating. In this work, we focus on improvements to two aspects of discriminative training method, in particular related to minimum phone error (MPE) training method in Mandarin speech recognition. One...
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