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Bypass Temporal Classification: Weakly Supervised Automatic Speech
  Recognition with Imperfect Transcripts

Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts

1 June 2023
Dongji Gao
Matthew Wiesner
Hainan Xu
Leibny Paola García
Daniel Povey
Sanjeev Khudanpur
ArXivPDFHTML

Papers citing "Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts"

6 / 6 papers shown
Title
RNN-Transducer-based Losses for Speech Recognition on Noisy Targets
RNN-Transducer-based Losses for Speech Recognition on Noisy Targets
Vladimir Bataev
35
0
0
09 Apr 2025
Fast Streaming Transducer ASR Prototyping via Knowledge Distillation
  with Whisper
Fast Streaming Transducer ASR Prototyping via Knowledge Distillation with Whisper
Iuliia Thorbecke
Juan Zuluaga-Gomez
Esaú Villatoro-Tello
Shashi Kumar
Pradeep Rangappa
Sergio Burdisso
P. Motlícek
Karthik Pandia
A. Ganapathiraju
38
0
0
20 Sep 2024
Token-Weighted RNN-T for Learning from Flawed Data
Token-Weighted RNN-T for Learning from Flawed Data
Gil Keren
Wei Zhou
Ozlem Kalinli
43
0
0
26 Jun 2024
Updated Corpora and Benchmarks for Long-Form Speech Recognition
Updated Corpora and Benchmarks for Long-Form Speech Recognition
Jennifer Drexler Fox
Desh Raj
Natalie Delworth
Quinn Mcnamara
Corey Miller
Miguel Jetté
AuLLM
36
7
0
26 Sep 2023
Learning from Flawed Data: Weakly Supervised Automatic Speech
  Recognition
Learning from Flawed Data: Weakly Supervised Automatic Speech Recognition
Dongji Gao
Hainan Xu
Desh Raj
Leibny Paola García Perera
Daniel Povey
Sanjeev Khudanpur
35
4
0
26 Sep 2023
CTC Variations Through New WFST Topologies
CTC Variations Through New WFST Topologies
A. Laptev
Somshubra Majumdar
Boris Ginsburg
34
20
0
06 Oct 2021
1