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