首页 文献索引 SCI期刊 AI助手
期刊目录筛选

期刊名:Computer speech and language

缩写:COMPUT SPEECH LANG

ISSN:0885-2308

e-ISSN:1095-8363

IF/分区:3.4/Q2

文章目录 更多期刊信息

共收录本刊相关文章索引31
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
David S Barbera,Mark Huckvale,Victoria Fleming et al. David S Barbera et al.
Anomia (word-finding difficulties) is the hallmark of aphasia, an acquired language disorder most commonly caused by stroke. Assessment of speech performance using picture naming tasks is a key method for both diagnosis and monitoring of re...
Roozbeh Soleymani,Ivan W Selesnick,David M Landsberger Roozbeh Soleymani
We introduce a real-time capable algorithm which estimates the long-term signal to noise ratio (SNR) of the speech in multi-talker babble noise. In real-time applications, long-term SNR is calculated over a sufficiently long moving frame of...
Jangwon Kim,Asterios Toutios,Sungbok Lee et al. Jangwon Kim et al.
Emotional speech production has been previously studied using fleshpoint tracking data in speaker-specific experiment setups. The present study introduces a real-time magnetic resonance imaging database of emotional speech production from 1...
Manoj Kumar,So Hyun Kim,Catherine Lord et al. Manoj Kumar et al.
Automatic speech recognition for child speech has been long considered a more challenging problem than for adult speech. Various contributing factors have been identified such as larger acoustic speech variability including mispronunciation...
Prashanth Gurunath Shivakumar,Panayiotis Georgiou Prashanth Gurunath Shivakumar
Children speech recognition is challenging mainly due to the inherent high variability in children's physical and articulatory characteristics and expressions. This variability manifests in both acoustic constructs and linguistic usage due ...
Shiran Dudy,Steven Bedrick,Meysam Asgari et al. Shiran Dudy et al.
Computer-Assisted Pronunciation Training (CAPT) systems aim to help a child learn the correct pronunciations of words. However, while there are many online commercial CAPT apps, there is no consensus among Speech Language Therapists (SLPs) ...
Mary E Beckman,Andrew R Plummer,Benjamin Munson et al. Mary E Beckman et al.
Methods from automatic speech recognition (ASR), such as segmentation and forced alignment, have facilitated the rapid annotation and analysis of very large adult speech databases and databases of caregiver-infant interaction, enabling adva...
Rahul Gupta,Daniel Bone,Sungbok Lee et al. Rahul Gupta et al.
Child engagement is defined as the interaction of a child with his/her environment in a contextually appropriate manner. Engagement behavior in children is linked to socio-emotional and cognitive state assessment with enhanced engagement id...
Rahul Gupta,Kartik Audhkhasi,Sungbok Lee et al. Rahul Gupta et al.
Non-verbal communication involves encoding, transmission and decoding of non-lexical cues and is realized using vocal (e.g. prosody) or visual (e.g. gaze, body language) channels during conversation. These cues perform the function of maint...
Ming Li,Jangwon Kim,Adam Lammert et al. Ming Li et al.
We propose a practical, feature-level and score-level fusion approach by combining acoustic and estimated articulatory information for both text independent and text dependent speaker verification. From a practical point of view, we study h...