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2003•Unpublished venueRequires access

Constant delay and rate coding of speech spectral envelope at 11 bits/frame

E. Yakhnich, Y. Bistritz

Open publisher page 1 citations

Abstract

Parametric vocoders are used to attain very low rate compression. A new method for segment coding of a speech spectral envelope is proposed, based on coding of constant length segments. It is a computationally efficient method for LPC (linear predictive coding) parameter coding based on TD (temporal decomposition). It attains average LSD (log-spectrum distortion) less than 1 dB at 11 bits/frame. Thus, it saves 56% of the LPC parameter bit budget which is 26% of the total NELP2400 vocoder bit budget. The method offers constant delay and relatively low complexity.

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What this paper is about

Parametric vocoders are used to attain very low rate compression. A new method for segment coding of a speech spectral envelope is proposed, based on coding of constant length segments. It is a computationally efficient method for LPC (linear predictive coding) parameter coding based on TD (temporal decomposition). It attains average LSD (log-spectrum distortion) less than 1 dB at 11 bits/frame. Thus, it saves 56% of the LPC parameter bit budget which is 26% of the total NELP2400 vocoder bit budget. The method offers constant delay and relatively low complexity.

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Available abstract

Parametric vocoders are used to attain very low rate compression. A new method for segment coding of a speech spectral envelope is proposed, based on coding of constant length segments. It is a computationally efficient method for LPC (linear predictive coding) parameter coding based on TD (temporal decomposition). It attains average LSD (log-spectrum distortion) less than 1 dB at 11 bits/frame. Thus, it saves 56% of the LPC parameter bit budget which is 26% of the total NELP2400 vocoder bit budget. The method offers constant delay and relatively low complexity.

Key concepts: Harmonic Vector Excitation Coding, Spectral envelope, Speech coding, Linear predictive coding, Computer science, Codec2, Coding (social sciences), Speech recognition

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