A Compact End-to-End Model with Local and Global Context for Spoken
Language Identification

A Compact End-to-End Model with Local and Global Context for Spoken Language Identification

27 October 2022

Nithin Rao Koluguri

Jagadeesh Balam

Boris Ginsburg

Papers citing "A Compact End-to-End Model with Local and Global Context for Spoken Language Identification"

6 / 6 papers shown

Title
Exploring the Impact of Data Quantity on ASR in Extremely Low-resource Languages Yao-Fei Cheng Li-Wei Chen Hung-Shin Lee Hsin-Min Wang 21 0 0 13 Sep 2024
Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech Martina Valente Fabio Brugnara Giovanni Morrone Enrico Zovato Leonardo Badino 25 0 0 13 Jun 2024
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition Martin H. Radfar Rohit Barnwal R. Swaminathan Feng-Ju Chang Grant P. Strimel Nathan Susanj Athanasios Mouchtaris 28 13 0 29 Sep 2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech Alexis Conneau Min Ma Simran Khanuja Yu Zhang Vera Axelrod Siddharth Dalmia Jason Riesa Clara E. Rivera Ankur Bapna VLM 78 282 0 25 May 2022
XTREME-S: Evaluating Cross-lingual Speech Representations Alexis Conneau Ankur Bapna Yu Zhang Min Ma Patrick von Platen ... Orhan Firat Michael Auli Sebastian Ruder Jason Riesa Melvin Johnson VLM AILaw ELM 50 22 0 21 Mar 2022
NeMo: a toolkit for building AI applications using Neural Modules Oleksii Kuchaiev Jason Chun Lok Li Huyen Nguyen Oleksii Hrinchuk Ryan Leary ... Jack Cook P. Castonguay Mariya Popova Jocelyn Huang Jonathan M. Cohen 196 291 0 14 Sep 2019