Speech segmentation in aphasia [PDF]
Aphasiology, 2015 Background: Speech segmentation is one of the initial and mandatory phases of language learning. Although some people with aphasia have shown a preserved ability to learn novel words, their speech segmentation abilities have not been explored.
Antoni Rodríguez Fornells +2 more
exaly +7 more sources
Neural processes underlying statistical learning for speech segmentation in dogs [PDF]
Current Biology, 2021 Summary To learn words, humans extract statistical regularities from speech. Multiple species use statistical learning also to process speech, but the neural underpinnings of speech segmentation in non-humans remain largely unknown. Here, we investigated
Andrea Deme +2 more
exaly +3 more sources
Improving Dysarthric Speech Segmentation With Emulated and Synthetic Augmentation [PDF]
IEEE Journal of Translational Engineering in Health and MedicineAcoustic features extracted from speech can help with the diagnosis of neurological diseases and monitoring of symptoms over time. Temporal segmentation of audio signals into individual words is an important pre-processing step needed prior to extracting
Saeid Alavi Naeini +4 more
doaj +3 more sources
Differential contributions of synaptic and intrinsic inhibitory currents to speech segmentation via flexible phase-locking in neural oscillators. [PDF]
PLoS Comput Biol, 2021 Current hypotheses suggest that speech segmentation – the initial division and grouping of the speech stream into candidate phrases, syllables, and phonemes for further linguistic processing – is executed by a hierarchy of oscillators in auditory cortex.
Pittman-Polletta BR +5 more
europepmc +2 more sources
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation [PDF]
Interspeech 2022, 2022 Speech segmentation, which splits long speech into short segments, is essential for speech translation (ST). Popular VAD tools like WebRTC VAD have generally relied on pause-based segmentation.
Ryo Fukuda +2 more
semanticscholar +4 more sources
Statistical learning for speech segmentation: Age-related changes and underlying mechanisms. [PDF]
Psychol Aging, 2018 Statistical learning (SL) is a powerful learning mechanism that supports word segmentation and language acquisition in infants and young adults. However, little is known about how this ability changes over the life span and interacts with age-related ...
Palmer SD, Hutson J, Mattys SL.
europepmc +2 more sources
Experience with a second language affects the use of fundamental frequency in speech segmentation. [PDF]
PLoS One, 2017 This study investigates whether listeners’ experience with a second language learned later in life affects their use of fundamental frequency (F0) as a cue to word boundaries in the segmentation of an artificial language (AL), particularly when the cues ...
Tremblay A +7 more
europepmc +2 more sources
Tongue Contour Tracking and Segmentation in Lingual Ultrasound for Speech Recognition: A Review
Diagnostics, 2022 Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has been used widely in different applications as visual feedback to enhance language learning for non-native speakers, study speech-related disorders and ...
Khalid Al-hammuri +3 more
doaj +2 more sources
Domain-general mechanisms for speech segmentation: The role of duration information in language learning. [PDF]
J Exp Psychol Hum Percept Perform, 2017 Speech segmentation is supported by multiple sources of information that may either inform language processing specifically, or serve learning more broadly.
Frost RL, Monaghan P, Tatsumi T.
europepmc +2 more sources
IEEE Access, 2018 Speech is the most natural form of human communication. Major achievements have been made in developing systems that automatically recognize human speech and respond to it.
Ahmed Hamdi Abo Absa +4 more
doaj +3 more sources