Pith. sign in

REVIEW

LEAP Submission to CHiME-6 ASR Challenge}

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2005.11258 v1 pith:AADLSZRP submitted 2020-05-22 eess.AS

Anirudh Sreeram , Anurenjan Purushothaman , Rohit Kumar , Sriram Ganapathy This is my paper · ORCID
classification eess.AS
keywords challengechime-6leapsubmissionarchitecturelayersneuralrecognition
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

This paper reports the LEAP submission to the CHiME-6 challenge. The CHiME-6 Automatic Speech Recognition (ASR) challenge Track 1 involved the recognition of speech in noisy and reverberant acoustic conditions in home environments with multiple-party interactions. For the challenge submission, the LEAP system used extensive data augmentation and a factorized time-delay neural network (TDNN) architecture. We also explored a neural architecture that interleaved the TDNN layers with LSTM layers. The submitted system improved the Kaldi recipe by 2% in terms of relative word-error-rate improvements.

Discussion (0). Continue with ORCID to comment.

Pith tools