End-to-End Speech Recognition: A Survey von Prabhavalkar, Rohit, Hori, Takaaki, Sainath, Tara N., Schluter, Ralf, Watanabe, Shinji

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Conditional Random Fields in Speech, Audio, and Language Processing von Fosler-Lussier, Eric, He, Yanzhang, Jyothi, Preethi, Prabhavalkar, Rohit

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Backpropagation training for multilayer conditional random field based phone recognition von Prabhavalkar, Rohit, Fosler-Lussier, Eric

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Conditional Random Fields in Speech, Audio, and Language Processing: SPEECH INFORMATION PROCESSING: THEORY AND APPLICATIONS von FOSLER-LUSSIER, Eric, YANZHANG HE, JYOTHI, Preethi, PRABHAVALKAR, Rohit

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Integrating evidence over time: A look at conditional models for speech processing von Fosler-Lussier, Eric, Morris, Jeremy, Heintz, Ilana, Prabhavalkar, Rohit

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A chunk-based phonetic score for mobile voice search von Prabhavalkar, R., Droppo, J.

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Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping von Wang, Lun, Thakkar, Om, Meng, Zhong, Rafidi, Nicole, Prabhavalkar, Rohit, Narayanan, Arun

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Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers von Arumugam, Guru Prakash, Chang, Shuo-yiin, Sainath, Tara N, Prabhavalkar, Rohit, Wang, Quan, Bijwadia, Shaan

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The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning von Zhou, Lillian, Ding, Yuxin, Chen, Mingqing, Zhang, Harry, Prabhavalkar, Rohit, Guliani, Dhruv, Motta, Giovanni, Mathews, Rajiv

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Text Injection for Neural Contextual Biasing von Meng, Zhong, Wu, Zelin, Prabhavalkar, Rohit, Peyser, Cal, Wang, Weiran, Chen, Nanxin, Sainath, Tara N, Ramabhadran, Bhuvana

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A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale von Peyser, Cal, Picheny, Michael, Cho, Kyunghyun, Prabhavalkar, Rohit, Huang, Ronny, Sainath, Tara

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Lego-Features: Exporting modular encoder features for streaming and deliberation ASR von Botros, Rami, Prabhavalkar, Rohit, Schalkwyk, Johan, Chelba, Ciprian, Sainath, Tara N, Beaufays, Françoise

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End-to-End Speech Recognition: A Survey von Prabhavalkar, Rohit, Hori, Takaaki, Sainath, Tara N, Schlüter, Ralf, Watanabe, Shinji

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Dual Learning for Large Vocabulary On-Device ASR von Peyser, Cal, Huang, Ronny, Sainath, Tara, Prabhavalkar, Rohit, Picheny, Michael, Cho, Kyunghyun

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Improving Joint Speech-Text Representations Without Alignment von Peyser, Cal, Meng, Zhong, Hu, Ke, Prabhavalkar, Rohit, Rosenberg, Andrew, Sainath, Tara N, Picheny, Michael, Cho, Kyunghyun

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CONTEXTUAL BIASING FOR SPEECH RECOGNITION von Pundak, Golan, Sainath, Tara N, Prabhavalkar, Rohit Prakash

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Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR von Wu, Zelin, Song, Gan, Li, Christopher, Rondon, Pat, Meng, Zhong, Velez, Xavier, Wang, Weiran, Caseiro, Diamantino, Pundak, Golan, Munkhdalai, Tsendsuren, Chandorkar, Angad, Prabhavalkar, Rohit

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Improving Deliberation by Text-Only and Semi-Supervised Training von Hu, Ke, Sainath, Tara N, He, Yanzhang, Prabhavalkar, Rohit, Strohman, Trevor, Mavandadi, Sepand, Wang, Weiran

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Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models von Prabhavalkar, Rohit, Meng, Zhong, Wang, Weiran, Stooke, Adam, Cai, Xingyu, He, Yanzhang, Narayanan, Arun, Hwang, Dongseong, Sainath, Tara N, Moreno, Pedro J

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Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models von Hernandez, Steven M, Zhao, Ding, Ding, Shaojin, Bruguier, Antoine, Prabhavalkar, Rohit, Sainath, Tara N, He, Yanzhang, McGraw, Ian

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