Sub‐syllable segment‐based voice conversion using spectral block clustering transformation functions

Yeh, Jui‐Feng; Hsu, Chung‐Hua

doi:10.1080/02533839.2010.9671694

Cited by 1 publication

(1 citation statement)

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“…Wang et al applied the speech synthesis prediction skills to speech packet loss recovery and achieve significant improvement [22]. Yeh and Hsu invested an approach based on spectral block clustering transformation functions to measure the similarity of speech segments [23].…”

Section: Introductionmentioning

confidence: 99%

Bilateral Waveform Similarity Overlap-and-Add Based Packet Loss Concealment for Voice over IP

Yeh¹,

Lin²,

Kuo³

et al. 2013

Journal of Applied Research and Technology

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This paper invested a bilateral waveform similarity overlap-and-add algorithm for voice packet lost. Since Packet lost will cause the semantic misunderstanding, it has become one of the most essential problems in speech communication. This investment is based on waveform similarity measure using overlap-and-Add algorithm and provides the bilateral information to enhance the speech signal reconstruction. Traditionally, it has been improved that waveform similarity overlap-and-add (WSOLA) technique is an effective algorithm to deal with packet loss concealment (PLC) for real-time time communication. WSOLA algorithm is widely applied to deal with the length adaptation and packet loss concealment of speech signal. Time scale modification of audio signal is one of the most essential research topics in data communication, especially in voice of IP (VoIP). Herein, the proposed the bilateral WSOLA (BWSOLA) that is derived from WSOLA. Instead of only exploitation one direction speech data, the proposed method will reconstruct the lost voice data according to the preceding and cascading data. The related algorithms have been developed to achieve the optimal reconstructing estimation. The experimental results show that the quality of the reconstructed speech signal of the bilateral WSOLA is much better compared to the standard WSOLA and GWSOLA on different packet loss rate and length using the metrics PESQ and MOS. The significant improvement is obtained by bilateral information and proposed method. The proposed bilateral waveform similarity overlap-and-add (BWSOLA) outperforms the traditional approaches especially in the long duration data loss.

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Section: Introductionmentioning

confidence: 99%