Towards Robust Waveform-Based Acoustic Models-Reference-Cited by-同舟云学术

Towards Robust Waveform-Based Acoustic Models

Author:

Oglic Dino¹^ORCID,Cvetkovic Zoran²^ORCID,Sollich Peter³^ORCID,Renals Steve⁴^ORCID,Yu Bin⁵

Affiliation:

1. Applied Analytics and AI, Data Sciences and AI, BioPharmaceuticals R&D, AstraZeneca, Cambridge, U.K.

2. Department of Engineering, King's College London, London, U.K.

3. Department of Mathematics, King's College London, London, U.K.

4. Center for Speech Technology Research, University of Edinburgh, Edinburgh, U.K.

5. Departments of Statistics and Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, USA

Funder

Engineering and Physical Sciences Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

Reference52 articles.

3. Deep speech: Scaling up end-to-end speech recognition;hannun,2014

5. SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition;drude,2019

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