| Harmfreq_MOLRT: a statistical model, likelihood ratio test (LRT)-based speech/non-speech detection algorithm | |
Harmfreq_MOLRT is a statistical model, likelihood ratio test (LRT)-based speech/non-speech detection algorithm. The likelihood ratios (LRs) for voiced and unvoiced frames are computed differently: LR for voiced frames is calculated using only the harmonic DFTs; for unvoiced frames, LR is calculated using all DFTs. It is an improved version of the multiple observation (MO) LRT VAD proposed by Ramirez et. al. [Matlab code of Harmfreq_MOLRT VAD] | |
| MBSC: a Multi-Band Summary Correlogram (MBSC)-based pitch detection algorithm for noisy speech | |
MBSC is a Multi-Band Summary Correlogram (MBSC)-based pitch detection algorithm for noisy speech. The package contains the matlab code that is used to generate the pitch detection results reported in L. N. Tan, and A. Alwan, "Multi-Band Summary Correlogram-based Pitch Detection for Noisy Speech", Speech Communication, in press. A fast version of the code is also provided in the package. [Matlab code of MBSC pitch detector] |
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