A systematic study of DNN based speech enhancement in reverberant and reverberant-noisy environments [0.03%]
基于DNN的混响及混响噪声环境下的语音增强系统研究
Heming Wang,Ashutosh Pandey,DeLiang Wang
Heming Wang
Deep learning has led to dramatic performance improvements for the task of speech enhancement, where deep neural networks (DNNs) are trained to recover clean speech from noisy and reverberant mixtures. Most of the existing DNN-based algorit...
Evaluation methodology and metrics employed to assess the TRANSTAC two-way, speech-to-speech translation systems [0.03%]
评估TRANSTAC双向语音到语音翻译系统的评价方法和指标
Gregory A Sanders,Brian A Weiss,Craig Schlenoff et al.
Gregory A Sanders et al.
One of the most difficult challenges that military personnel face when operating in foreign countries is clear and successful communication with the local population. To address this issue, the Defense Advanced Research Projects Agency (DAR...
Two Decades of Speaker Recognition Evaluation at the National Institute of Standards and Technology [0.03%]
美国国家标准与技术研究院二十年来的话者识别评测活动回顾
Craig S Greenberg,Lisa P Mason,Seyed Omid Sadjadi et al.
Craig S Greenberg et al.
The National Institute of Standards and Technology has been conducting Speaker Recognition Evaluations (SREs) for over 20 years. This article provides an overview of the practice of evaluating speaker recognition technology as it has evolve...
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement [0.03%]
通过说话人剥离提升基于语音的抑郁检测的准确性和隐私保护
Vijay Ravi,Jinhan Wang,Jonathan Flint et al.
Vijay Ravi et al.
Speech signals are valuable biomarkers for assessing an individual's mental health, including identifying Major Depressive Disorder (MDD) automatically. A frequently used approach in this regard is to employ features related to speaker iden...
Quantification of Speech Disfluency as a Marker of Medication-Induced Cognitive Impairment: An Application of Computerized Speech Analysis in Neuropharmacology [0.03%]
量化言语不流畅作为药物引起的认知障碍的标志：神经药理学中计算机化语音分析的应用
Serguei V S Pakhomov,Susan E Marino,Angela K Birnbaum
Serguei V S Pakhomov
We present the results of a study investigating the use of speech and language characteristics extracted from spontaneous spoken discourse to assess changes in cognitive function. Specifically, we investigated the use of automatic speech re...
An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates [0.03%]
基于局部质量估计的自动化心理治疗对话质量评估框架
Zhuohao Chen,Nikolaos Flemotomos,Karan Singla et al.
Zhuohao Chen et al.
Text-based computational approaches for assessing the quality of psychotherapy are being developed to support quality assurance and clinical training. However, due to the long durations of typical conversation based therapy sessions, and du...
Conversation Initiation of Mothers, Fathers, and Toddlers in their Natural Home Environment [0.03%]
自然环境中的母亲、父亲及其幼儿的对话发起行为
Mark VanDam,Lauren Thompson,Elizabeth Wilson-Fowler et al.
Mark VanDam et al.
In a conversational exchange, interlocutors use social cues including conversational turn-taking to communicate. There has been attention in the literature concerning how mothers, fathers, boys, and girls converse with each other, and in pa...
Towards sound based testing of COVID-19-Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge [0.03%]
基于声音的COVID-19检测方法研究-首次利用声学诊断COVID-19(DiCOVA)挑战赛总结
Neeraj Kumar Sharma,Ananya Muguli,Prashant Krishnan et al.
Neeraj Kumar Sharma et al.
The technology development for point-of-care tests (POCTs) targeting respiratory diseases has witnessed a growing demand in the recent past. Investigating the presence of acoustic biomarkers in modalities such as cough, breathing and speech...
Xiaohui Liang,John A Batsis,Youxiang Zhu et al.
Xiaohui Liang et al.
Early detection of cognitive decline involved in Alzheimer's Disease and Related Dementias (ADRD) in older adults living alone is essential for developing, planning, and initiating interventions and support systems to improve users' everyda...
Causal Indicators for Assessing the Truthfulness of Child Speech in Forensic Interviews [0.03%]
评估审讯中儿童证言真实性的因果指标
Zane Durante,Victor Ardulov,Manoj Kumar et al.
Zane Durante et al.
When interviewing a child who may have witnessed a crime, the interviewer must ask carefully directed questions in order to elicit a truthful statement from the child. The presented work uses Granger causal analysis to examine and represent...