Cited by 58Speech Recognition and SynthesisSpeech and Audio ProcessingSpeech and dialogue systems

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Distant speech recognition in a smart home: comparison of several multisource ASRs in realistic conditions

Abstract

While the smart home domain has become a major field of application of ICT to improve support and wellness of people in loss of autonomy, speech technology in smart home has, comparatively to other ICTs, received limited attention.This paper presents the SWEET-HOME project whose aim is to make it possible for frail persons to control their domestic environment through voice interfaces.Several state-of-the-art and novel ASR techniques were evaluated on realistic data acquired in a multiroom smart home.This distant speech French corpus was recorded with 21 speakers playing scenarios including activities of daily living in a smart home equipped with several microphones.Techniques acting at the decoding stage and using a priori knowledge such as DDA give better results (WER=8.8%,Domotic F-measure=96.8%)than the baseline (WER=18.3%,Domotic F-measure=89.2%)and other approaches.

Overview

Integrity signals

Registry

Crossref · 10.21437/interspeech.2011-604

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The final Language Model combination of generic LM (10% weight) and specialized LM (90% weight) has been shown to lead to low Word Error Rate for domain specific applications.

    “This weighting has been shown to lead to low Word Error Rate (WER) 3 (Morris et al., 2004) for domain specific applications (Lecouteux et al., 2011).”

Citations

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Metadata

Authors
Lecouteux, B., Vacher, M., & Portet, F.
Affiliations
Institut polytechnique de Grenoble (FR)
Venue
Interspeech 2011
Publisher
ISCA
Published
2011-08-27
Pages
2273-2276
ISSN
2308-457X (ISSN-L)
OpenAlex
W2398131491
Cited by
58
References
1
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 7 · 2017: 7 · 2016: 3 · 2015: 7 · 2014: 10 · 2013: 7 · 2012: 5
FWCI
6.16
Type
conference paper
Language
en
Open access
closed
Locations
Interspeech (USB) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
  • Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Keywords
distant speech recognition, home automation, speech interfaces, activities of daily living, multi-microphone systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review