Proceedings ArticleDOI
Efficient coding of LPC parameters by temporal decomposition
Bishnu S. Atal
- Vol. 8, pp 81-84
Reads0
Chats0
TLDR
The aim is to determine the extent to which the bit rate of LPC parameters can be reduced without sacrificing speech quality.Abstract:
This paper describes a method for efficient coding of LPC log area parameters. It is now well recognized that sample-by-sample quantization of LPC parameters is not very efficient in minimizing the bit rate needed to code these parameters. Recent methods for reducing the bit rate have used vector and segment quantization methods. Much of the past work in this area has focussed on efficient coding of LPC parameters in the context of vocoders which put a ceiling on achievable speech quality. The results from these studies cannot be directly applied to synthesis of high quality speech. This paper describes a different approach to efficient coding of log area parameters. Our aim is to determine the extent to which the bit rate of LPC parameters can be reduced without sacrificing speech quality. Speech events occur generally at non-uniformly spaced time intervals. Moreover, some speech events are slow while others are fast. Uniform sampling of speech parameters is thus not efficient. We describe a non-uniform sampling and interpolation procedure for efficient coding of log area parameters. A temporal decomposition technique is used to represent the continuous variation of these parameters as a linearly-weighted sum of a number of discrete elementary components. The location and length of each component is automatically adapted to speech events. We find that each elementary component can be coded as a very low information rate signal.read more
Citations
More filters
Dissertation
Low Bit Rate Speech Coding
TL;DR: A novel approach to parametric speech coding was developed which obtained promising results under both objective and subjective evaluation and the performance of two different encoding algorithms on English and Xhosa speech was investigated.
Proceedings ArticleDOI
Software radio FM broadcast receiver for audio indexing applications
B. Happi Tietche,Olivier Romain,Bruce Denby,L. Benaroya,F. de Dieuleveult,Bertrand Granado,Houssemeddine Khemiri,Gérard Chollet,Dijana Petrovska-Delacrétaz,Raphaël Blouet,Khalil Hachicha,Sylvain Viateur +11 more
TL;DR: A prototype of a new software radio enabled broadcast media navigator implemented on an FPGA, which is able to demodulate simultaneously all channel in the FM band and perform audio indexing upon them, ultimately using a Graphics Processing Unit.
Proceedings Article
Hierarchical temporal decomposition: a novel approach to efficient compression of spectral characteristics of speech.
TL;DR: The method models the articulatory dynamics employing a hierarchical error minimization algorithm which does not use Singular Value Decomposition to comply with the desired coding requirements, such as compression ratio, accuracy, delay, and computational complexity.
Book ChapterDOI
Speech Recognition of Assamese Numerals Using Combinations of LPC - Features and Heterogenous ANNs
TL;DR: A fully automated and effective method of detection of Assamese numerals captured under varied recording conditions and moods is presented here.
Journal ArticleDOI
Group-based spatio-temporal video analysis and abstraction using wavelet parameters
TL;DR: This paper utilizes event-based temporal decomposition technique to resolve the overlapping arrangement of the video signal that is known to be one of the main concerns in video analysis via conventional frame-based schemes.
References
More filters
Book
Digital Processing of Speech Signals
TL;DR: This paper presents a meta-modelling framework for digital Speech Processing for Man-Machine Communication by Voice that automates the very labor-intensive and therefore time-heavy and expensive process of encoding and decoding speech.
Book
Linear Prediction of Speech
John E. Markel,A. Gray +1 more
TL;DR: Speech Analysis and Synthesis Models: Basic Physical Principles, Speech Synthesis Structures, and Considerations in Choice of Analysis.
Journal ArticleDOI
Speech analysis and synthesis by linear prediction of the speech wave.
B. S. Atal,Suzanne L. Hanauer +1 more
TL;DR: Application of this method for efficient transmission and storage of speech signals as well as procedures for determining other speechcharacteristics, such as formant frequencies and bandwidths, the spectral envelope, and the autocorrelation function, are discussed.
Journal ArticleDOI
Predictive Coding of Speech at Low Bit Rates
TL;DR: A new class of speech coders are described which allow one to realize the precise optimum noise spectrum which is crucial to achieving very low bit rates, but also represent the important first step in bridging the gap between waveform coders and vocoders without suffering from their limitations.