Evidence map›Paper›PMID 36811087›Full record

ArticleProceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)2019

ROLE SPECIFIC LATTICE RESCORING FOR SPEAKER ROLE RECOGNITION FROM SPEECH RECOGNITION OUTPUTS.

Nikolaos Flemotomos, Panayiotis Georgiou, David C Atkins, Shrikanth Narayanan

Abstract read
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In one paragraph

Article in Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nikolaos FlemotomosDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA, USA.
Panayiotis GeorgiouDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA, USA.
David C AtkinsDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.
Shrikanth NarayananDepartment of Electrical Engineering, University of Southern California, Los Angeles, CA, USA.

Funding

Implementation of Technology-Based Evaluation of Motivational InterviewingR01AA018673 · NIAAA · UNIVERSITY OF WASHINGTON · PI ATKINS, DAVID CHARLES, NARAYANAN, SHRIKANTH · 2010 to 2020
$5.9M
NIAAA NIH HHS R01 AA018673
6 · The paper itself

Abstract

The language patterns followed by different speakers who play specific roles in conversational interactions provide valuable cues for the task of Speaker Role Recognition (SRR). Given the speech signal, existing algorithms typically try to find such patterns in the output of an Automatic Speech Recognition (ASR) system. In this work we propose an alternative way of revealing role-specific linguistic characteristics, by making use of role-specific ASR outputs, which are built by suitably rescoring the lattice produced after a first pass of ASR decoding. That way, we avoid pruning the lattice too early, eliminating the potential risk of information loss.

Indexed as

language modellattice rescoringspeaker role recognitionspeech recognition

Identifiers

PMID36811087
PMCPMC9940782

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.