Rethinking Evaluation in ASR: Are Our Models Robust Enough?

Tatiana Likhomanenko
Tatiana Likhomanenko
Vineel Pratap
Vineel Pratap
Paden Tomasello
Paden Tomasello
Jacob Kahn
Jacob Kahn
Gilad Avidov
Gilad Avidov
Cited by: 1|Views16

Abstract:

Is pushing numbers on a single benchmark valuable in automatic speech recognition? Research results in acoustic modeling are typically evaluated based on performance on a single dataset. While the research community has coalesced around various benchmarks, we set out to understand generalization performance in acoustic modeling across d...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments