ArticleThe Journal of the Acoustical Society of America2019
Autoscore: An open-source automated tool for scoring listener perception of speech.
Article in The Journal of the Acoustical Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04897711 (Perceptual Training for Improved Intelligibility of Dysarthric Speech), which is not on this map. Cited by 46 papers.
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.
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.
Perceptual Training for Improved Intelligibility of Dysarthric Speech
Who cites it
46 citing papers in PubMed.
- Increasing Motivation Increases Intelligibility Benefits of Perceptual Training in Dysarthria.American journal of speech-language pathology · 2025Trial
- Generalization of perceptual adaptation to second-language speech in a single-talker training paradigm: Predictors remain elusive.Attention, perception & psychophysics · 2026Article
- Paired-Comparison Versus Cross-Sectional Approaches for Assessing Longitudinal Speech Change in Parkinson's Disease Following Deep Brain Stimulation of the Subthalamic Nucleus.American journal of speech-language pathology · 2026Article
- Acoustic and Perceptual Characteristics of Compressed Dysarthric Speech: Implications for Teleassessment.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Perceptual Training for People With Parkinson's Disease.American journal of speech-language pathology · 2026Article
- Improving Intelligibility in Childhood Apraxia of Speech Through Communication Partner Training.American journal of speech-language pathology · 2026Article
- Learning to Understand Speech in Babble Noise: The Role of Rhythm Perception in English and Spanish.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Perceptual Learning and Predictability of Children's Speech.Journal of speech, language, and hearing research : JSLHR · 2026Article
- Perceptual Outcome Measures for Supplementing Transcription Intelligibility in Speakers with Parkinson's Disease and Mild Dysarthria.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2026Article
- Background noise inhibits listeners' use of contextual cues for dysarthric speech.JASA express letters · 2026Article
- Bilingual Perception of Dysarthric Speech.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Autoscribe: An automated tool for creating transcribed TextGrids from audio-recorded conversations.Behavior research methods · 2025Article
- Communication in Complex Situations: The Combined Influence of Dysarthria and Sensorineural Hearing Loss on Speech Perception in Everyday Noisy Environments.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Exploring Methodological Decisions for Calculating the Minimally Detectable Change in Dysarthria: Reliability, Statistics, and Standard Error of Measurement.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Predicting relative intelligibility from inter-talker distances in a perceptual similarity space for speech.Psychonomic bulletin & review · 2025Article
- Automated Scoring of the Speech Intelligibility Test Using Autoscore.American journal of speech-language pathology · 2025Article
- Cognitive Predictors of Perception and Adaption to Dysarthric Speech in Older Adults.Journal of speech, language, and hearing research : JSLHR · 2025Article
- Lettuce entertain you: Assessing Sandwich Builder as a measure of auditory short-term memory.Behavior research methods · 2025Article
- The relationship between rhythm perception abilities and perceptual learning in syllable- versus stress-timed languages.The Journal of the Acoustical Society of America · 2025Article
- Comparing manual and automated methods for calculating speaking rate in Parkinson's disease.JASA express letters · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Speech perception studies typically rely on trained research assistants to score orthographic listener transcripts for words correctly identified. While the accuracy of the human scoring protocol has been validated with strong intra- and inter-rater reliability, the process of hand-scoring the transcripts is time-consuming and resource intensive. Here, an open-source computer-based tool for automated scoring of listener transcripts is built (Autoscore) and validated on three different human-scored data sets. Results show that not only is Autoscore highly accurate, achieving approximately 99% accuracy, but extremely efficient. Thus, Autoscore affords a practical research tool, with clinical application, for scoring listener intelligibility of speech.
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Registered trials
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.