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Timers and Such: A Practical Benchmark for Spoken Language Understanding
  with Numbers

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

4 April 2021
Loren Lugosch
Piyush Papreja
Mirco Ravanelli
A. Heba
Titouan Parcollet
ArXivPDFHTML

Papers citing "Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers"

3 / 3 papers shown
Title
Finstreder: Simple and fast Spoken Language Understanding with Finite
  State Transducers using modern Speech-to-Text models
Finstreder: Simple and fast Spoken Language Understanding with Finite State Transducers using modern Speech-to-Text models
Daniel Bermuth
Alexander Poeppel
W. Reif
17
7
0
29 Jun 2022
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and
  language Models for Intent Classification
Leveraging Acoustic and Linguistic Embeddings from Pretrained speech and language Models for Intent Classification
Bidisha Sharma
Maulik C. Madhavi
Haizhou Li
13
19
0
15 Feb 2021
Transfer Learning from Speaker Verification to Multispeaker
  Text-To-Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia
Yu Zhang
Ron J. Weiss
Quan Wang
Jonathan Shen
...
Z. Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
204
819
0
12 Jun 2018
1