The PASCAL CHiME Speech Separation and Recognition Challenge

Jon Barker 1 Emmanuel Vincent 2, 3 Ning Ma 1 Heidi Christensen 1 Phil Green 1
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Distant microphone speech recognition systems that operate with humanlike robustness remain a distant goal. The key difficulty is that operating in everyday listening conditions entails processing a speech signal that is reverberantly mixed into a noise background composed of multiple competing sound sources. This paper describes a recent speech recognition evaluation that was designed to bring together researchers from multiple communities in order to foster novel approaches to this problem. The task was to identify keywords from sentences reverberantly mixed into audio backgrounds binaurally-recorded in a busy domestic environment. The challenge was designed to model the essential difficulties of multisource environment problem while remaining on a scale that would make it accessible to a wide audience. Compared to previous ASR evaluation a particular novelty of the task is that the utterances to be recognised were provided in a continuous audio background rather than as pre-segmented utterances thus allowing a range of background modelling techniques to be employed. The challenge attracted thirteen submissions. This paper describes the challenge problem, provides an overview of the systems that were entered and provides a comparison alongside both a baseline recognition system and human performance. The paper discusses insights gained from the challenge and lessons learnt for the design of future such evaluations.
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal.inria.fr/hal-00743529
Contributor : Emmanuel Vincent <>
Submitted on : Friday, October 19, 2012 - 1:31:22 PM
Last modification on : Wednesday, April 3, 2019 - 1:23:02 AM
Long-term archiving on : Sunday, January 20, 2013 - 3:39:18 AM

File

barker_CSL12.pdf
Files produced by the author(s)

Identifiers

Citation

Jon Barker, Emmanuel Vincent, Ning Ma, Heidi Christensen, Phil Green. The PASCAL CHiME Speech Separation and Recognition Challenge. Computer Speech and Language, Elsevier, 2013, 27 (3), pp.621-633. ⟨10.1016/j.csl.2012.10.004⟩. ⟨hal-00743529⟩

Share

Metrics

Record views

1429

Files downloads

1456