Generalized MMSE STSA Estimator with ICA-Based Noise Estimation and Speech Prior Identification for Binaural Hearing Aids

Wakisaka R, Saruwatari H, Shikano K, Takatani T. Generalized MMSE STSA Estimator with ICA-Based Noise Estimation and Speech Prior Identification for Binaural Hearing Aids. In: AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio. Audio Engineering Society; 2012. Paper 2-4. Available from: https://aes.org/publications/elibrary-page/?id=16179

@inproceedings{Wakisaka2012_16179,
  author = {Wakisaka, Ryo and Saruwatari, Hiroshi and Shikano, Kiyohiro and Takatani, Tomoya},
  title = {{Generalized MMSE STSA Estimator with ICA-Based Noise Estimation and Speech Prior Identification for Binaural Hearing Aids}},
  booktitle = {AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio},
  note = {Paper 2-4},
  year = {2012},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16179}
}

TY  - CPAPER
TI  - Generalized MMSE STSA Estimator with ICA-Based Noise Estimation and Speech Prior Identification for Binaural Hearing Aids
AU  - Wakisaka, Ryo
AU  - Saruwatari, Hiroshi
AU  - Shikano, Kiyohiro
AU  - Takatani, Tomoya
T2  - AES Conference: 45th International Conference: Applications of Time-Frequency Processing in Audio
M1  - Paper 2-4
PY  - 2012
DA  - 2012/03/06
UR  - https://aes.org/publications/elibrary-page/?id=16179
PB  - Audio Engineering Society
LA  - en
AB  - In this paper, we propose a new method of sound localization preserved noise reduction method for binaural hearing-aid systems. In the previous works, the sound-localization-preserved MMSE STSA estimator with ICA-based noise estimation was proposed. This method can preserve sound localization by using common spectral gain for noise reduction at each channel of the left and right. However, in this conventional method, an approximation is used to estimate optimal common spectral gain. Therefore, it can be consider that the noise reduction performance of the conventional method can be more improved. Thus, we propose to replace the original MMSE STSA estimator by the generalized MMSE STSA estimator. From the objective and subjective evaluation, we confirmed that effectiveness of the proposed method.
ER  -