This paper investigates the problem of "musical noise" and proposes a new algorithm to reduce it. Musical noise occurs in most of the spectral-estimation-based algorithms, such as spectral subtraction and minimum mean-square error short-time spectral amplitude estimator (MMSE-STSA). To reduce this type of noise, a novel algorithm, which is called two-dimensional spectogram enhancement, is proposed. A speech enhancement scheme is implemented by combining the proposed algorithm with the MMSE-STSA method. Spectogram comparisons show that with the proposed scheme, musical noise is effectively reduced with reference to MMSE-STSA. SNR and PESQ evaluations show that the proposed method is superior to MMSE-STSA and spectral subtraction with auditory masking method.

Additional Metadata
Keywords Amplitude estimation, Frequency, Humans, Noise figure, Noise reduction, Spectrogram, Speech analysis, Speech coding, Speech enhancement, Speech processing
Persistent URL dx.doi.org/10.1109/HAVE.2003.1244726
Conference 2nd IEEE International Workshop on Haptic, Audio and Visual Environments and their Applications, HAVE 2003
Citation
Lin, Z. (Zhong), & Goubran, R. (2003). Musical noise reduction in speech using two-dimensional spectrogram enhancement. Presented at the 2nd IEEE International Workshop on Haptic, Audio and Visual Environments and their Applications, HAVE 2003. doi:10.1109/HAVE.2003.1244726