Adaptive anti-noise unvoiced / voiced / silence detection algorithm
Li Rongyu · Journal of Yanshan University · 2015
The Unvoiced / Voiced / Silence detection( UVS) provides a preliminary acoustic segment, which is a key parameter in speech compression,synthesis and recognition. The complication of traditional UVS methods training procedure causes low efficiency of speech vocoder. To solve this problem,a UVS detection without training proceeding is proposed in this paper. After new characteristic parameters of unvoiced and voiced signal are extracted,adaptable threshold is proposed based on the correlation of those parameters. With its perfect anti-noise ability,the correct rate of this detection improves sharply. The simulation result shows that this algorithm not only simplifies the unvoiced / voiced / silence detection,but also efficiently decreases 10% of unvoiced and maintains lower than 4% of voiced discrimination error. The improved 0. 6 kbps MELP vocoder applying this detection algorithm gets a0. 3 higher PESQ score and better synthetic speech performance,compared with original vocoder,which produces good natural and intelligible speech.