Tencent Music Entertainment Technology (Shenzhen) Co., Ltd.

Chaopeng Zhang

A method and an apparatus for evaluating voice quality are provided. In the method, a playback of a standard audio is recorded to obtain a to-be-evaluated signal. Then a first power spectrum of the to-be-evaluated signal on a critical frequency band is determined to obtain a first spectrogram. Then a second power spectrum of a reference signal corresponding to the standard audio on a critical frequency band is determined to obtain a second spectrogram, where the reference signal is a sampled signal corresponding to the standard audio. Then an image similarity between the first spectrogram and the second spectrogram is determined to obtain a voice quality score of the to-be-evaluated signal.

Sound quality evaluation method and apparatus, and device

Disclosed is a method, an apparatus, and a device for transient noise detection. The method includes: obtaining an audio frame signal having a preset duration; performing wavelet decomposition on a first audio frame signal to obtain a first wavelet decomposition signal corresponding to the first audio frame signal; determining a first reference audio intensity value of a first sub-wavelet decomposition signal according to reference audio intensity values of all samples in the first sub-wavelet decomposition signal; determining energy distribution information of the first wavelet decomposition signal according to first reference audio intensity values of all sub-wavelet decomposition signals in the first wavelet decomposition signal; and determining a probability that the first audio frame signal is transient noise according to the energy distribution information of the first wavelet decomposition signal.

Method, apparatus, and device for transient noise detection

A method and apparatus for detecting a valid voice signal and a non-transitory computer readable storage medium are provided. A first audio signal including at least one audio frame signal is obtained. Multiple wavelet decomposition signals respectively corresponding to the at least one audio frame signal are obtained. A wavelet signal sequence is obtained by combining the multiple wavelet decomposition signals. A maximum value and a minimum value among audio intensity values of all sample points are obtained, and a first audio intensity threshold is determined according to the maximum value and the minimum value. Sample points each having an audio intensity value greater than the first audio intensity threshold in the wavelet signal sequence are obtained, and a signal of sample points in the first audio signal corresponding to the sample points each having an audio intensity value greater than the first audio intensity threshold is determined as the valid voice signal.

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Guangdong, China

Chaopeng Zhang