The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Speech recognition with deep recurrent neural networks
Graves, A., Mohamed, A.-R., & Hinton, G. (2013) · 2013 IEEE International Conference on Acoustics, Speech and Signal Processing · doi:10.1109/icassp.2013.6638947 · Cited by 8,893
Cited by
Supervised Speech Separation Based on Deep Learning: An Overview
Wang, D., & Chen, J. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2018.2842159 · Cited by 1,524
SEGAN: Speech Enhancement Generative Adversarial Network
Pascual, S., Bonafonte, A., & Serrà, J. (2017) · Interspeech 2017 · doi:10.21437/interspeech.2017-1428 · Cited by 1,297
Deep Learning for Audio Signal Processing
Purwins, H., Li, B., Virtanen, T., Schluter, J., Chang, S.-Y., & Sainath, T. (2019) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2019.2908700 · Cited by 855
Kolbaek, M., Yu, D., Tan, Z.-H., & Jensen, J. (2017) · IEEE/ACM Transactions on Audio, Speech, and Language Processing · doi:10.1109/taslp.2017.2726762 · Cited by 820
Real Time Speech Enhancement in the Waveform Domain
Défossez, A., Synnaeve, G., & Adi, Y. (2020) · Interspeech 2020 · doi:10.21437/interspeech.2020-2409 · Cited by 537
Metadata
- Authors
- Weninger, F., Erdogan, H., Watanabe, S., Vincent, E., Le Roux, J., Hershey, J. R., & Schuller, B.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 91-99
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1897240248
- Cited by
- 602
- References
- 2
- FWCI
- 38.46
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Weninger, F., Erdogan, H., Watanabe, S., Vincent, E., Le Roux, J., Hershey, J. R., & Schuller, B. (2015). Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-22482-4_11
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
