The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Open accessAbstract
We introduce Wavesplit, an end-to-end source separation system. From a single mixture, the model infers a representation for each source and then estimates each source signal given the inferred representations. The model is trained to jointly perform both tasks from the raw waveform. Wavesplit infers a set of source representations via clustering, which addresses the fundamental permutation problem of separation. For speech separation, our sequence-wide speaker representations provide a more robust separation of long, challenging recordings compared to prior work. Wavesplit redefines the state-of-the-art on clean mixtures of 2 or 3 speakers (WSJ0-2/3mix), as well as in noisy and reverberated settings (WHAM/WHAMR). We also set a new benchmark on the recent LibriMix dataset. Finally, we show that Wavesplit is also applicable to other domains, by separating fetal and maternal heart rates from a single abdominal electrocardiogram.
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Cites
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“Librispeech: an ASR corpus based on public domain audio books,”
Panayotov, V., Chen, G., Povey, D., & Khudanpur, S. (2015) · 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · doi:10.1109/icassp.2015.7178964 · Cited by 6,072
WaveNet: a generative model for raw audio
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Cited by
A review of deep learning techniques for speech processing
Mehrish, A., Majumder, N., Bharadwaj, R., Mihalcea, R., & Poria, S. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101869 · Cited by 389
Sense and Learn: Self-supervision for omnipresent sensors
Saeed, A., Ungureanu, V., & Gfeller, B. (2021) · Machine Learning with Applications · doi:10.1016/j.mlwa.2021.100152 · Cited by 34
Metadata
- Authors
- Zeghidour, N., & Grangier, D.
- Venue
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Published
- 2021
- Volume
- 29
- Pages
- 2840-2849
- ISSN
- 2329-9290 (ISSN-L)
- 2329-9304
- OpenAlex
- W3008880747
- Cited by
- 257
- References
- 59
- FWCI
- 23.13
- Type
- journal article
- Language
- en
- Open access
- green
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