Speech recognition (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Speech recognition" in English language version.

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  • Sarangi, Susanta; Sahidullah, Md; Saha, Goutam (September 2020). "Optimization of data-driven filterbank for automatic speaker verification". Digital Signal Processing. 104 102795. arXiv:2007.10729. Bibcode:2020DSP...10402795S. doi:10.1016/j.dsp.2020.102795. S2CID 220665533.
  • Schmidhuber, Jürgen (2015). "Deep learning in neural networks: An overview". Neural Networks. 61: 85–117. arXiv:1404.7828. doi:10.1016/j.neunet.2014.09.003. PMID 25462637. S2CID 11715509.
  • Dosovitskiy, Alexey; Beyer, Lucas; Kolesnikov, Alexander; Weissenborn, Dirk; Zhai, Xiaohua; Unterthiner, Thomas; Dehghani, Mostafa; Minderer, Matthias; Heigold, Georg; Gelly, Sylvain; Uszkoreit, Jakob; Houlsby, Neil (3 June 2021). "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale". arXiv:2010.11929 [cs.CV].
  • Wu, Haiping; Xiao, Bin; Codella, Noel; Liu, Mengchen; Dai, Xiyang; Yuan, Lu; Zhang, Lei (29 March 2021). "CvT: Introducing Convolutions to Vision Transformers". arXiv:2103.15808 [cs.CV].
  • Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (24 May 2019). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding". arXiv:1810.04805 [cs.CL].
  • Gong, Yuan; Chung, Yu-An; Glass, James (8 July 2021). "AST: Audio Spectrogram Transformer". arXiv:2104.01778 [cs.SD].
  • Ristea, Nicolae-Catalin; Ionescu, Radu Tudor; Khan, Fahad Shahbaz (20 June 2022). "SepTr: Separable Transformer for Audio Spectrogram Processing". arXiv:2203.09581 [cs.CV].
  • Lohrenz, Timo; Li, Zhengyang; Fingscheidt, Tim (14 July 2021). "Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition". arXiv:2104.00120 [eess.AS].
  • Graves, Alex; Mohamed, Abdel-rahman; Hinton, Geoffrey (2013). "Speech recognition with deep recurrent neural networks". arXiv:1303.5778 [cs.NE]. ICASSP 2013.
  • Amodei, Dario (2016). "Deep Speech 2: End-to-End Speech Recognition in English and Mandarin". arXiv:1512.02595 [cs.CL].
  • Assael, Yannis; Shillingford, Brendan; Whiteson, Shimon; de Freitas, Nando (5 November 2016). "LipNet: End-to-End Sentence-level Lipreading". arXiv:1611.01599 [cs.CV].
  • Shillingford, Brendan; Assael, Yannis; Hoffman, Matthew W.; Paine, Thomas; Hughes, Cían; Prabhu, Utsav; Liao, Hank; Sak, Hasim; Rao, Kanishka (13 July 2018). "Large-Scale Visual Speech Recognition". arXiv:1807.05162 [cs.CV].
  • Li, Jason; Lavrukhin, Vitaly; Ginsburg, Boris; Leary, Ryan; Kuchaiev, Oleksii; Cohen, Jonathan M.; Nguyen, Huyen; Gadde, Ravi Teja (2019). "Jasper: An End-to-End Convolutional Neural Acoustic Model". Interspeech 2019. pp. 71–75. arXiv:1904.03288. doi:10.21437/Interspeech.2019-1819.
  • Kriman, Samuel; Beliaev, Stanislav; Ginsburg, Boris; Huang, Jocelyn; Kuchaiev, Oleksii; Lavrukhin, Vitaly; Leary, Ryan; Li, Jason; Zhang, Yang (22 October 2019), QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions, arXiv:1910.10261
  • Joshi, Raviraj; Singh, Anupam (May 2022). Malmasi, Shervin; Rokhlenko, Oleg; Ueffing, Nicola; Guy, Ido; Agichtein, Eugene; Kallumadi, Surya (eds.). "A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data". Proceedings of the Fifth Workshop on E-Commerce and NLP (ECNLP 5). Dublin, Ireland: Association for Computational Linguistics: 244–249. arXiv:2206.13240. doi:10.18653/v1/2022.ecnlp-1.28.
  • Sukhadia, Vrunda N.; Umesh, S. (9 January 2023). "Domain Adaptation of Low-Resource Target-Domain Models Using Well-Trained ASR Conformer Models". 2022 IEEE Spoken Language Technology Workshop (SLT). IEEE. pp. 295–301. arXiv:2202.09167. doi:10.1109/SLT54892.2023.10023233. ISBN 979-8-3503-9690-4.
  • Bahdanau, Dzmitry (2016). "End-to-End Attention-based Large Vocabulary Speech Recognition". arXiv:1508.04395 [cs.CL].
  • Chorowski, Jan; Jaitly, Navdeep (8 December 2016). "Towards better decoding and language model integration in sequence to sequence models". arXiv:1612.02695 [cs.NE].
  • Chan, William; Zhang, Yu; Le, Quoc; Jaitly, Navdeep (10 October 2016). "Latent Sequence Decompositions". arXiv:1610.03035 [stat.ML].
  • Chung, Joon Son; Senior, Andrew; Vinyals, Oriol; Zisserman, Andrew (16 November 2016). "Lip Reading Sentences in the Wild". 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 3444–3453. arXiv:1611.05358. doi:10.1109/CVPR.2017.367. ISBN 978-1-5386-0457-1. S2CID 1662180.
  • El Kheir, Yassine; et al. (21 October 2023), Automatic Pronunciation Assessment — A Review, Conference on Empirical Methods in Natural Language Processing, arXiv:2310.13974, S2CID 264426545

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  • "Voice Recognition To Ease Travel Bookings: Business Travel News". BusinessTravelNews.com. 3 March 1997. Archived from the original on 9 September 2024. Retrieved 9 September 2024. The earliest applications of speech recognition software were dictation ... Four months ago, IBM introduced a 'continual dictation product' designed to ... debuted at the National Business Travel Association trade show in 1994.

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  • E.g., CMUDICT, "The CMU Pronouncing Dictionary". www.speech.cs.cmu.edu. Archived from the original on 15 August 2010. Retrieved 15 February 2023. Compare "four" given as "F AO R" with the vowel AO as in "caught," to "row" given as "R OW" with the vowel OW as in "oat."

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  • "What Is Speech Recognition? | IBM". www.ibm.com. 28 September 2021. Retrieved 28 August 2025.

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  • "Li Deng". Li Deng Site. Archived from the original on 9 September 2024. Retrieved 9 September 2024.

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  • Blechman, R. O.; Blechman, Nicholas (23 June 2008). "Hello, Hal". The New Yorker. Archived from the original on 20 January 2015. Retrieved 17 January 2015.

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  • Vaswani, Ashish; Shazeer, Noam; Parmar, Niki; Uszkoreit, Jakob; Jones, Llion; Gomez, Aidan N; Kaiser, Łukasz; Polosukhin, Illia (2017). "Attention is All you Need". Advances in Neural Information Processing Systems. 30. Curran Associates. Archived from the original on 9 September 2024. Retrieved 9 September 2024.

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