Samuel Kriman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Language Identification

Speech Recognition

Joint Detection

Top Venues

Publications

Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, Yang Zhang, Boris Ginsburg
RULER: What's the Real Context Size of Your Long-Context Language Models? CoRR (2024)
Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg
Investigating End-to-End ASR Architectures for Long Form Audio Transcription. ICASSP (2024)
Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models. ICASSP (2023)
Dima Rekesh, Nithin Rao Koluguri, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Krishna C. Puvvada, Ankur Kumar, Jagadeesh Balam, Boris Ginsburg
Fast Conformer With Linearly Scalable Attention For Efficient Speech Recognition. ASRU (2023)
Nithin Rao Koluguri, Samuel Kriman, Georgy Zelenfroind, Somshubra Majumdar, Dima Rekesh, Vahid Noroozi, Jagadeesh Balam, Boris Ginsburg
Investigating End-to-End ASR Architectures for Long Form Audio Transcription. CoRR (2023)
Dima Rekesh, Samuel Kriman, Somshubra Majumdar, Vahid Noroozi, He Huang, Oleksii Hrinchuk, Ankur Kumar, Boris Ginsburg
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition. CoRR (2023)
Travis M. Bartley, Fei Jia, Krishna C. Puvvada, Samuel Kriman, Boris Ginsburg
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models. CoRR (2022)
Samuel Kriman, Heng Ji
Joint Detection and Coreference Resolution of Entities and Events with Document-level Context Aggregation. ACL (student) (2021)
Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang
Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions. ICASSP (2020)
Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen
NeMo: a toolkit for building AI applications using Neural Modules. CoRR (2019)