The issue of representing speech rhythm is understood in this paper as the search for relevant primary parameters that will allow the formalisation of speech rhythm. Current speech synthesisers show that phonological models are not satisfactory with respect to the modelling of speech rhythmicity. Our analysis indicates that this may be in part related to the formalisation of rhythmic representa...

This paper describes the results of a joint study on the applicability of the command-response model to F0 contours of European Portuguese, with an aim to use it in a TTS system. Analysis-by-Synthesis of observed F0 contours of a number of utterances by five native speakers indicated that the model with provisions for both positive and negative accent commands applies quite well to all the utte...

Problem statement: In speech communication, speech coding aims at preserving the speech quality with lower coding bitrate. When considering the communication environment, various types of noises deteriorates the speech quality. The expressive speech with different speaking styles may cause different speech quality with the same coding method. Approach: This research proposed a study of speech c...

Speech compression is a key technology underlying digital cellular communications, VoIP, voicemail, and voice response systems. We trace the evolution of speech coding based on the linear prediction model, highlight the key milestones in speech coding, and outline the structures of the most important speech coding standards. Current challenges, future research directions, fundamental limits on ...

Modern speech coding schemes have been developed to address the demand for economical spoken language telecommunication of acceptable quality. A variety of speech coding algorithms have been described, which compress speech to facilitate efficient transmission of spoken language over communication networks [2,3,4]. Most such speech coding algorithms are lossy in the sense that the “processed” s...

This paper reviews the main algorithms for speech coding at low and very low bit rates, from 50 bps to 4000 bps. Then the HSX technique for coding at 1200 bps and a new segmental method with automatically derived units for very low bit rate coding are presented in details.

This chapter addresses issues associated with automatic speech recognition (ASR) over mobile networks, and introduces several techniques for improving speech recognition performance. One of these issues is the performance degradation of ASR over mobile networks that results from distortions produced by speech coding algorithms employed in mobile communication systems, transmission errors occurr...