Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Errors in Taping01:18

Errors in Taping

17
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
17
Language Development01:22

Language Development

289
Children master language quickly and with relative ease, supported by both biological predisposition and reinforcement. B. F. Skinner (1957) proposed that language is learned through reinforcement, while Noam Chomsky (1965) argued that language acquisition mechanisms are biologically determined.
The critical period for language acquisition suggests that the ability to acquire language is at its peak early in life. As people age, this proficiency decreases. Language development begins very...
289

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Evaluating the interpretability of clinical speech AI models: Lessons from two user studies.

Computer speech & language·2026
Same author

How Do Infants Eat at Home? A Preliminary Study of Complementary Feeding Skills in the Naturalistic Environment.

American journal of speech-language pathology·2026
Same author

An End-to-End Overview of Clinical Speech AI.

IEEE transactions on audio, speech, and language processing (2025)·2026
Same author

Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study.

JMIR formative research·2026
Same author

Apple AirPods Pro 2 Live Listen as an Assistive Listening Device.

American journal of audiology·2026
Same author

Reevaluating the classification of pediatric speech sound disorders: a ground truthing perspective.

Frontiers in human neuroscience·2025

相关实验视频

Updated: May 15, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

380

调整错误如何影响儿童言语中的自动发音评分?

Prad Kadambi1, Tristan Mahr2, Lucas Annear2

  • 1Arizona State University, USA.

Interspeech
|April 9, 2025
PubMed
概括

对于儿童来说,自动发音评分可以准确. 我们的研究表明,对齐错误具有中等的影响,确保可靠的比较使用不同的评分方法,儿童说话者之间.

科学领域:

  • 语音科学 语言科学
  • 计算语言学 计算语言学
  • 儿童语言的获取儿童语言的获取

背景情况:

  • 自动发音评分通过语音细分和语音概率计算来评估语音偏离成人规范.
  • 区分对齐误差与真声偏差对于准确的自动计分至关重要.
  • 儿童的言语面临着独特的挑战,可能会放大发音偏差和对齐错误.

研究的目的:

  • 量化来自手动与自动语音对齐的发音分数之间的差异.
  • 研究调整错误和其他因素 (音名位置,类型) 对儿童发音评分的影响.

主要方法:

  • 利用混合效应建模来预测发音分数的差异.
  • 使用手动语音对齐 () 计算的比较分数与自动强制对齐 () 计算的比较分数.
  • 分析了对齐错误,语音位置和语音类型对得分差异的影响.

主要成果:

  • 发现对齐错误对发音分数差异 () 有适度的影响.
  • 其他分析的变量,如语音位置和类型,几乎没有显著的影响.
  • 手动和自动计算的分数在交叉发言平均后显示出密切一致.
关键词:
调整错误是因为调整错误.自动发音评价自动发音评估强制对齐的强制对齐方式发音的善良 发音的善良语音细分 语音细分 语音细分

更多相关视频

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

21.5K
A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

34.3K

相关实验视频

Last Updated: May 15, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

380
Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
08:32

Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors

Published on: January 3, 2017

21.5K
A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS
12:43

A Protocol for Comprehensive Assessment of Bulbar Dysfunction in Amyotrophic Lateral Sclerosis ALS

Published on: February 21, 2011

34.3K

结论:

  • 自动强制对齐为儿童提供了可靠的发音评分方法.
  • 调整错误的影响是可以管理的,并不妨碍准确的比较.
  • 儿童扬声器的实际比较是高度可比的,无论使用手动还是自动对齐方法.