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A joint speech coding-enhancement algorithm for MBE vocoder

Huaiyu Dai, Zhigang Cao

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Abstract

Multi-band excitation vocoder can yield high speech quality at medium and low rate speech coding, but its performance degrades dramatically in low SNR environments. A joint speech coding-enhancement algorithm is proposed which integrates MBE speech coding with speech enhancement. The original MBE coding algorithm is modified for better estimation of the MBE coding parameters in a noisy environment. Especially, the MMSE-LOG speech enhancement algorithm is incorporated in the MBE frequency domain calculation, and speech enhancement using the dual excitation speech model is adopted for post-processing of the synthesized speech. The objective measure and informal listening test indicate that significant improvement can be attained with an input SNR as low as -5 dB.

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What this paper is about

Multi-band excitation vocoder can yield high speech quality at medium and low rate speech coding, but its performance degrades dramatically in low SNR environments. A joint speech coding-enhancement algorithm is proposed which integrates MBE speech coding with speech enhancement. The original MBE coding algorithm is modified for better estimation of the MBE coding parameters in a noisy environment. Especially, the MMSE-LOG speech enhancement algorithm is incorporated in the MBE frequency domain calculation, and speech enhancement using the dual excitation speech model is adopted for post-processing of the synthesized speech. The objective measure and informal listening test indicate that significant improvement can be attained with an input SNR as low as -5 dB.

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Available abstract

Multi-band excitation vocoder can yield high speech quality at medium and low rate speech coding, but its performance degrades dramatically in low SNR environments. A joint speech coding-enhancement algorithm is proposed which integrates MBE speech coding with speech enhancement. The original MBE coding algorithm is modified for better estimation of the MBE coding parameters in a noisy environment. Especially, the MMSE-LOG speech enhancement algorithm is incorporated in the MBE frequency domain calculation, and speech enhancement using the dual excitation speech model is adopted for post-processing of the synthesized speech. The objective measure and informal listening test indicate that significant improvement can be attained with an input SNR as low as -5 dB.

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

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