The paper proposes a novel classifier namedELEC (Enhanced Lipschitz Embedding based Classifier) in the speech emotion recognition system. ELEC adopts geodesic distance to preserve the intrinsic geometry of speech corpus and embeds the high dimensional feature vector into a lower space. Through analyzing the class labels of the neighbor training vectors in the compressed space, ELEC classifies t...

This paper introduces a new technique of multi-microphone processing which aims to provide features for the extraction of fundamental frequency and for the classification of voiced/unvoiced segments in distant-talking speech. A multichannel periodicity function (MPF) is derived from an adaptive weighting of normalized and compressed magnitude spectra. This function highlights periodic clues of ...

A new method, named linear prediction with linear extrapolation has been proposed in the past, which aims at modifying conventional linear prediction especially for speech coding applications. The basic idea is to reformulate the computation of linear prediction so that an optimal FIR-predictor of order 2p could be determined from p numberical values. In this work, we extend the above method to...

A text-to-speech synthesis technique, based on warped linear prediction (WLP) and neural networks, is presented for high-quality individual sounding synthetic speech. Warped linear prediction is used as a speech production model with wide audio bandwidth yet with highly compressed control parameter data. An excitation codebook, inverse filtered from a target speaker’s voice, is applied to obtai...

| We describe an adaptive speech enhancement technique based on selecting a set of pre-computed FIR lters to process the compressed short-time power spectral trajec-tories of noisy speech. The responses of the pre-computed lters depend only on the signal to noise ratios (SNRs) and does not depend on the center frequency of the sub-bands. This allows for a compact design in which the estimate of...

A technique to peform speech recognition directly from audio files encoded using the MPEG/Audio coding standard is described. The technique works in the compressed domain and does not require the MPEG/Audio file to be decompressed. Only the encoded subband samples are extracted and processed for training and recognition. The underlying speech recognition engine used is based on the Hidden Marko...

Speech is a natural input/output modality for wireless access to information on the web. One way to overcome resource constraints on current wireless devices is to locate the speech recognition and text-to-speech systems on remote servers and transmit compressed speech between the server and wireless clients. To this end, we evaluated the effects of speech compression on the performance of a co...