Author: Kevin Thomas MalonePublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 268
Book Description
Adaptive Predictive Coding of Speech Using Trellis Coded Vector Quantization
Author: Kevin Thomas MalonePublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 268
Book Description
A Trellis-searched APC (adaptive Predictive Coding) Speech Coder
Author: Publisher:
ISBN:
Category :
Languages : en
Pages : 11
Book Description
In this paper we formulate a speech coding system that incorporates trellis coded vector quantization (TCVQ) and adaptive predictive coding (APC). A method for optimizing'' the TCVQ codebooks is presented and experimental results concerning survivor path mergings are reported. Simulation results are given for encoding rates of 16 and 9.6 kbps for a variety of coder parameters. The quality of the encoded speech is deemed excellent at an encoding rate of 16 kbps and very good at 9.6 kbps. 13 refs., 2 figs., 4 tabs.
Adaptive Block Transform Coding of Speech Based on LPC Vector Quantization
Author: Yunus HussainPublisher:
ISBN:
Category : Speech processing systems
Languages : en
Pages : 17
Book Description
Abstract: "In this paper we describe an adaptive block transform speech coding system based on vector quantization of LPC parameters. In order to account for the power fluctuations, the speech signal is normalized to have a unit-energy prediction residual. The temporal variations in the short-term spectrum, on the other hand, are taken into account by vector quantizing the LPC parameters associated with the vector of speech samples and transmitting the codeword index. For each block, based on the codevector associated with the input vector, an optimum bit assignment map is used to quantize the transform coefficients.
Vector Quantization for Speech Coding
Author: Feng-Tzer TzengPublisher:
ISBN:
Category : Speech processing systems
Languages : en
Pages : 260
Book Description
Principles of Speech Coding
Author: Tokunbo OgunfunmiPublisher: CRC Press
ISBN: 1439882541
Category : Computers
Languages : en
Pages : 381
Book Description
It is becoming increasingly apparent that all forms of communication-including voice-will be transmitted through packet-switched networks based on the Internet Protocol (IP). Therefore, the design of modern devices that rely on speech interfaces, such as cell phones and PDAs, requires a complete and up-to-date understanding of the basics of speech
Scientific and Technical Aerospace Reports
Author: Linear Predictive Coding and the Internet Protocol
Author: Robert M. GrayPublisher: Now Publishers Inc
ISBN: 1601983484
Category : Computers
Languages : en
Pages : 181
Book Description
In December 1974 the first realtime conversation on the ARPAnet took place between Culler- Harrison Incorporated in Goleta, California, and MIT Lincoln Laboratory in Lexington, Massachusetts. This was the first successful application of realtime digital speech communication over a packet network and an early milestone in the explosion of realtime signal processing of speech, audio, images, and video that we all take for granted today. It could be considered as the first voice over Internet Protocol (VoIP), except that the Internet Protocol (IP) had not yet been established. In fact, the interest in realtime signal processing had an indirect, but major, impact on the development of IP. This is the story of the development of linear predictive coded (LPC) speech and how it came to be used in the first successful packet speech experiments. Several related stories are recounted as well. The history is preceded by a tutorial on linear prediction methods which incorporates a variety of views to provide context for the stories. This part is a technical survey of the fundamental ideas of linear prediction that are important for speech processing, but the development departs from traditional treatments and takes advantage of several shortcuts, simplifications, and unifications that come with years of hindsight. In particular, some of the key results are proved using short and simple techniques that are not as well known as they should be, and it also addresses some of the common assumptions made when modeling random signals. The reader interested only in the history and already familiar with or uninterested in the technical details of linear prediction and speech may skip Part I entirely.
Energy Research Abstracts
Author: Vector Quantization
Author: Hüseyin AbutPublisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 584
Book Description
Prediction Based Fast Codebook Search Algorithm for Adaptive Vector Quantization Speech Coding
Author: Corey A. GravesPublisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 204
Book Description