Development of a speech separation system using frequency domain blind source separation technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16600-6.pdf
Reference26 articles.
1. Seltzer ML, Yu D, Wang Y (2013) An investigation of deep neural networks for noise robust speech recognition. In: ICASSP, pp 7398–7402
2. Richey C, Barrios MA, Armstrong Z, Bartels C, Franco H, Graciarena M, Lawson A, Nandwana MK, Stauffer AR, van Hout J, Gamble P, Hetherly J, Stephenson C, Ni K (2018) Voices obscured in complex environmental settings (voices) corpus. In: INTERSPEECH, pp 1566–1570
3. Su J, Jin Z, Finkelstein A (2020) Acoustic matching by embedding impulse responses. In: ICASSP 2020 - 2020 IEEE international conference on acoustics, speech and signal processing (ICASSP), pp 426–430
4. Ratnarajah A, Tang Z, Manocha D (2021) Ts-rir: Translated synthetic room impulse responses for speech augmentation. In: 2021 IEEE automatic speech recognition and understanding workshop (ASRU), pp 259–266
5. Foy C, Deleforge A, Di Carlo D (2021) Mean absorption estimation from room impulse responses using virtually supervised learning. J Acoust Soc Am 150(2):1286-1299
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