Publication

Progress report of a project in very low bit-rate speech coding

2012
Reports

Abstract

Background work in various levels of speech coding is reviewed, including unconstrained coding and recognition-synthesis approaches that assume the signal is speech. A pilot project in HMM-TTS based speech coding is then described, in which a comparison with harmonic plus noise modelling is also done. Results of the demonstration project including samples of speech under various transmission situations are presented in an accompanying web page. The report concludes by describing and enumerating the shortcomings of the demonstration system that define directions for future work. This work is a deliverable for the armasuisse funded project “RECOD - Low bit-rate speech coding”

Official source

https://infoscience.epfl.ch/entities/publication/86559c18-0512-41eb-89a5-6d3f2d81202c

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2012
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/86559c18-0512-41eb-89a5-6d3f2d81202c

About this result

Related concepts (32)

Speech coding

Speech coding is an application of data compression to digital audio signals containing speech. Speech coding uses speech-specific parameter estimation using audio signal processing techniques to model the speech signal, combined with generic data compression algorithms to represent the resulting modeled parameters in a compact bitstream. Common applications of speech coding are mobile telephony and voice over IP (VoIP).

Speech synthesis

Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. The reverse process is speech recognition. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database.

Speech recognition

Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.

Related publications (2)

Progress report of a project in very low bit-rate speech coding

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