This paper proposes speaker normalized spectral subband centroids (SSCs) as supplementary features in noise environment speech recognition. SSCs are computed as frequency centroids for each subband from the power spectrum of the speech signal. Since the conventional SSCs depend on formant frequencies of a speaker, we introduce a speaker normalization technique into SSC computation to reduce the...

ETRI Journal, Volume 23, Number 1, March 2001 Efficient quantization methods of the line spectrum pairs (LSP) which have good performances, low complexity and memory are proposed. The adaptive quantization range method utilizing the ordering property of LSP parameters is used in a scalar quantizer and a vector-scalar hybrid quantizer. As the maximum quantization range of each LSP parameter is v...

The evaluation of spectral parameters characterizing analog–to–digital converters (ADC) is addressed by applying a single or dual tone generator to the device input and by properly processing its output data stream. The coherent sampling condition, highly recommended by the IEEE standards 1057 and 1241 which list the most effective ADC testing procedures, is usually difficult to achieve, and so...

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...

Most low bit rate speech coders employ linear predictive coding (LPC) which models the short-term spectral information within each speech frame as an all-pole lter. In this thesis, we examine various methods that can e ciently encode spectral parameters for every 20 ms frame interval. Line spectral frequencies (LSF) are found to be the most e ective parametric representation for spectral coding...

Scientists have made great strides toward understanding the mechanisms of speech production and perception. However, the complex relationships between the acoustic structures of speech and the resulting psychological percepts have yet to be fully and adequately explained, especially in speech produced by younger children. Thus, this study examined the acoustic structure of voiceless fricatives ...

Nonlinear predictive split vector quantization (NPSVQ) and classi ed NPSVQ (CNPSVQ) are introduced to exploit the correlation among the speech spectral parameters from two adjacent analysis frames. By interleaving intraframe SVQ with forward predictive SVQ, error propagation is limited to at most one adjacent frame. At an overall bit rate of about 21 bits/frame, NPSVQ can provide similar coding...

In this paper, the use of optimal KarhunenLoeve (KL) transform for quantization of speech line spectrum frequency (LSF) coefficients is studied. Both scalar quantizer (SQ) and vector quantizer (VQ) schemes are developed to encode efficiently the transform parameters after operating one or two-dimensional KL transform. Furthermore, the SQ schemes are also combined with entropy coding by using Hu...

Several methods exist for manipulating spectral models either by applying transformations via higher level features or by providing in-depth offline editing capabilities. In contrast, our system aims for direct, full, intuitive, real-time control without exposing any spectral model features to the user. The system extends upon previous machine learning work in gesture-synthesis mapping by apply...

let ‎x be an ‎‎n-‎‎‎‎‎‎square complex matrix with the ‎cartesian decomposition ‎‎x = a + i ‎b‎‎‎‎‎, ‎where ‎‎a ‎and ‎‎b ‎are ‎‎‎n ‎‎times n‎ ‎hermitian ‎matrices. ‎it ‎is ‎known ‎that ‎‎$vert x vert_p^2 ‎leq 2(vert a vert_p^2 + vert b vert_p^2)‎‎‎$, ‎where ‎‎$‎p ‎‎geq 2‎$‎ ‎and ‎‎$‎‎vert . vert_p$ ‎is ‎the ‎schatten ‎‎‎‎p-norm.‎ ‎‎ ‎‎in this paper‎, this inequality and some of its improvements ...