A high-efficiency speech coding algorithm based on ADPCM with multi-quantizer
Autor: | Kohei Iseda, Tominaga Shoji, Shigeyuki Unagami, Tomohiko Taniguchi |
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Rok vydání: | 2005 |
Předmět: |
Voice activity detection
Computer science Quantization (signal processing) Speech recognition Speech coding PSQM Full Rate Linear predictive coding Coding tree unit Coding gain Sub-band coding Signal-to-noise ratio Codec2 Adaptive Multi-Rate audio codec Bit rate Codec Vector sum excited linear prediction Harmonic Vector Excitation Coding |
Zdroj: | ICASSP |
DOI: | 10.1109/icassp.1986.1169248 |
Popis: | Adaptive differential PCM (ADPCM) is an effective coding scheme to simplify the hardware and shorten the processing delay to realize a high-efficiency speech codec. The ADPCM with Multi-Quantizer (ADPCM-MQ) coding has been proposed as one of the highly efficient coding methods. In the ADPCM-MQ codec several ADPCM coding blocks with different quantization step-size update rates are operated in parallel, and the quantizer that gives the best characteristics is found and selected dynamically for each frame. This paper describes a new 8 to 9.6 kbps ADPCM-MQ coding algorithm that includes tree coding to improve the per-sample quantizing characteristic, and sub-band coding with high frequency band reconstruction to realize a lower bit rate coding. Computer simulation indicates good quality for speech reproduced by this algorithm with a segmental signal-to-noise ratio of 14 to 15 dB. Adaptive postfiltering can be added to enhance the subjective characteristics of the reproduced speech. |
Databáze: | OpenAIRE |
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