A framework for labeling speech with acoustic cues to linguistic distinctive features.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
08 2019
Historique:
entrez: 2 9 2019
pubmed: 2 9 2019
medline: 4 9 2020
Statut: ppublish

Résumé

Acoustic cues are characteristic patterns in the speech signal that provide lexical, prosodic, or additional information, such as speaker identity. In particular, acoustic cues related to linguistic distinctive features can be extracted and marked from the speech signal. These acoustic cues can be used to infer the intended underlying phoneme sequence in an utterance. This study describes a framework for labeling acoustic cues in speech, including a suite of canonical cue prediction algorithms that facilitates manual labeling and provides a standard for analyzing variations in the surface realizations. A brief examination of subsets of annotated speech data shows that labeling acoustic cues opens the possibility of detailed analyses of cue modification patterns in speech.

Identifiants

pubmed: 31472587
doi: 10.1121/1.5121717
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

EL184

Auteurs

Shreya Huilgol (S)

Speech Communication Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, 50 Vassar Street, Cambridge, Massachusetts 02139, USAshuilgol@wellesley.edu, jinwoobaik1@gmail.com, sshuf@mit.edu.

Jinwoo Baik (J)

Speech Communication Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, 50 Vassar Street, Cambridge, Massachusetts 02139, USAshuilgol@wellesley.edu, jinwoobaik1@gmail.com, sshuf@mit.edu.

Stefanie Shattuck-Hufnagel (S)

Speech Communication Group, Research Laboratory of Electronics, Massachusetts Institute of Technology, 50 Vassar Street, Cambridge, Massachusetts 02139, USAshuilgol@wellesley.edu, jinwoobaik1@gmail.com, sshuf@mit.edu.

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Classifications MeSH