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Rohit Prabhavalkar

23 papers · 2010–2024 · 3 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (3)
πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ”¬ Deep Specialist (12) πŸ—ƒοΈ Keyword Collector (91) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

INTERSPEECH (19) NAACL (3) NIPS (1)

Papers

Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers NIPS 2024 Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm INTERSPEECH 2024 Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping INTERSPEECH 2024 Text Injection for Neural Contextual Biasing INTERSPEECH 2024 Massive End-to-end Speech Recognition Models with Time Reduction NAACL 2024 Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR NAACL 2024 How to Estimate Model Transferability of Pre-Trained Speech Models? INTERSPEECH 2023 Improving Joint Speech-Text Representations Without Alignment INTERSPEECH 2023 E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR INTERSPEECH 2022 Improving Rare Word Recognition with LM-aware MWER Training INTERSPEECH 2022 A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes INTERSPEECH 2022 Improving Deliberation by Text-Only and Semi-Supervised Training INTERSPEECH 2022 Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency INTERSPEECH 2021 Dissecting User-Perceived Latency of On-Device E2E Speech Recognition INTERSPEECH 2021 Anti-Aliasing Regularization in Stacking Layers INTERSPEECH 2020 Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models INTERSPEECH 2019 On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition INTERSPEECH 2019 Two-Pass End-to-End Speech Recognition INTERSPEECH 2019 Compression of End-to-End Models INTERSPEECH 2018 A Comparison of Sequence-to-Sequence Models for Speech Recognition INTERSPEECH 2017 An Analysis of β€œAttention” in Sequence-to-Sequence Models INTERSPEECH 2017 On the Efficient Representation and Execution of Deep Acoustic Models INTERSPEECH 2016 Investigations into the Crandem Approach to Word Recognition NAACL 2010