The isolated word speech recognition system based on dynamic time warping (DTW) has been developed. Speaker adaptation is performed using speaker recognition techniques. Vector quantization is used to create reference templates for speaker recognition. Linear predictive coding (LPC) parameters are used as features for recognition. Performance is evaluated using 12 words of Lithuanian language p...

The paper presents a model developed for real-time speaker recognition system that can be used to access restricted information or resources using human voice. Speaker recognition involves identification and verification of the speaker. At each stage, the voiceprint is compared with model voices of all speakers in the database. The comparison is a measure of the similarity (score) from which re...

近幾十年來,無數的學者先進對於此雜訊干擾問題提出了豐富眾多的演算法,略分成兩 大類別:強健性語音特徵參數表示法(robust speech feature representation)與語音模型調適 法(speech model adaptation),第一類別之方法主要目的在抽取不易受到外在環境干擾下 而失真的語音特徵參數,或從原始語音特徵中儘量削減雜訊造成的效應,比較知名的方 法有:倒頻譜平均值與變異數正規化法 (cepstral mean and variance normalization, CMVN)[1]、倒頻譜統計圖正規化法(cepstral histogram normalization, CHN)[2]、倒頻譜平 均值與變異數正規化結合自動回歸動態平均濾波器法(cepstral mean and variance normalization plus auto-r...

A novel formant estimation technique based on a pole-focusing mechanism applied to linear predictive coding (LPC) spectra is presented. The pole focusing technique is shown to provide superior feature resolution compared to standard LPC analysis. In its application to formant estimation from the speech signal, the technique is found to _be the antithesis of standard LPC analysis, requiring no p...

This paper proposes a gesture recognition method which uses higher order local autocorrelation (HLAC) features extracted from PARCOR images. To extract dominant information from a sequence of images, we apply linear prediction coding technique to the sequence of pixel values and PARCOR images are constructed from the PARCOR coe cients of the sequences of the pixel values. From the PARCOR images...

The LPC-type speech coders require efficient quantization and coding of the LPC spectral parameters in order to operate at low bit-rates. We present here results from an investigation to the Vector Predictive Quantization (VPQ) approach for the compression of the LPC spectral information. Reduction of the computation requirements of the VPQ scheme by means of Split-Vector Quantization is consid...

Demand of IP telephone is increasing more and more as broadband IP network is being commonly used by many people. In VoIP, packet loss concealment (PLC) is one of the key subjects to keep speech quality since packet loss occurs in IP network. PLC methods based on Linear Predictive coding (LP) method have been proposed in which LP coefficients and LP residual are repeated to recover speech corre...

In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the ...

Voice processors, including those using linear predictive coding (LPC) algorithms, are becoming more prevalent in communication systems. Several intelligibility and speaker recognition tests were used to evaluate two currently available LPC voice processors. Both text-dependent and text-independent techniques were developed. The tests are aimed at potential users, yielding quantitative data tha...

This work addresses joint quantization of adjacent speech parameter values or vectors. The basic joint quantization scheme is improved by using a low-complexity predictor and by allowing the quantizer to operate in several modes. In addition, this paper introduces an efficient algorithm for training quantizers having the proposed structure. The algorithm is used for training a practical quantiz...