Cal Peyser

Publications by Year

Research Areas

Speech Recognition and Synthesis, Natural Language Processing Techniques, Topic Modeling, Music and Audio Processing, Speech and Audio Processing

Most-Cited Works

• → A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency(2020)201 cited
• → Improving Performance of End-to-End ASR on Numeric Sequences(2019)32 cited
• → E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR(2022)23 cited
• → Improving Proper Noun Recognition in End-To-End Asr by Customization of the Mwer Loss Criterion(2020)12 cited
• → Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition(2022)9 cited
• → Improving Rare Word Recognition with LM-aware MWER Training(2022)8 cited
• → Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus(2020)7 cited
• → E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model(2023)5 cited
• → Towards Disentangled Speech Representations(2022)4 cited