Combined coding of audio and speech signals using LPC and the discrete wavelet transform
| Autor: | Simon Daniel Boland, Mohamed Deriche, Subramanian Sridharan, Michael Mason |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Code-excited linear prediction
Discrete wavelet transform Audio signal Voice activity detection Computer science business.industry Speech recognition Speech coding Data_CODINGANDINFORMATIONTHEORY Speech processing Linear predictive coding Coding tree unit Sub-band coding Adaptive Multi-Rate audio codec Codec2 business Vector sum excited linear prediction Context-adaptive binary arithmetic coding Harmonic Vector Excitation Coding Transform coding Digital signal processing Data compression Context-adaptive variable-length coding |
| Zdroj: | Scopus-Elsevier |
| DOI: | 10.1109/tencon.1997.648530 |
| Popis: | The aim of combined coding is to compress a mixed signal consisting of speech and music to the highest possible compression ratio and yet maintain user acceptability. This paper proposes a hybrid coder which is capable of coding combined speech and audio signals sampled over the range 16 kHz to 32 kHz. The coder provides high quality audio coding at competitive bit rates over this range of signal sampling frequencies and offers further coding gains when used with speech signals alone. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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