Machine learning for stuttering identification: Review, challenges and future directions
Stuttering is a speech disorder during which the flow of speech is interrupted by involuntary
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …
pauses and repetition of sounds. Stuttering identification is an interesting interdisciplinary …
An overview of the icassp special session on ai security and privacy in speech and audio processing
Perceiving and producing speech and audio signals are the basic ways for humans to
communicate with each other and know about the world. Benefiting from the advancement of …
communicate with each other and know about the world. Benefiting from the advancement of …
The ACM multimedia 2022 computational paralinguistics challenge: Vocalisations, stuttering, activity, & mosquitoes
The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …
different problems for the first time in a research competition under well-defined conditions …
Detecting dysfluencies in stuttering therapy using wav2vec 2.0
Stuttering is a varied speech disorder that harms an individual's communication ability.
Persons who stutter (PWS) often use speech therapy to cope with their condition. Improving …
Persons who stutter (PWS) often use speech therapy to cope with their condition. Improving …
From user perceptions to technical improvement: Enabling people who stutter to better use speech recognition
Consumer speech recognition systems do not work as well for many people with speech
differences, such as stuttering, relative to the rest of the general population. However, what …
differences, such as stuttering, relative to the rest of the general population. However, what …
Wav2vec2-based paralinguistic systems to recognise vocalised emotions and stuttering
With the rapid advancement in automatic speech recognition and natural language
understanding, a complementary field (paralinguistics) emerged, focusing on the non-verbal …
understanding, a complementary field (paralinguistics) emerged, focusing on the non-verbal …
The influence of dataset partitioning on dysfluency detection systems
This paper empirically investigates the influence of different data splits and splitting
strategies on the performance of dysfluency detection systems. For this, we perform …
strategies on the performance of dysfluency detection systems. For this, we perform …
Classification of stuttering–The ComParE challenge and beyond
Abstract The ACM Multimedia 2022 Computational Paralinguistics Challenge (ComParE)
featured a sub-challenge on the classification of stuttering in order to bring attention to this …
featured a sub-challenge on the classification of stuttering in order to bring attention to this …
[HTML][HTML] Automatic speech disfluency detection using wav2vec2. 0 for different languages with variable lengths
J Liu, A Wumaier, D Wei, S Guo - Applied Sciences, 2023 - mdpi.com
Speech is critical for interpersonal communication, but not everyone has fluent
communication skills. Speech disfluency, including stuttering and interruptions, affects not …
communication skills. Speech disfluency, including stuttering and interruptions, affects not …
Audio features from the Wav2Vec 2.0 embeddings for the ACM multimedia 2022 stuttering challenge
C Montacié, MJ Caraty, N Lackovic - Proceedings of the 30th ACM …, 2022 - dl.acm.org
The ACM Multimedia 2022 Stuttering Challenge is to determine the stuttering-related class
of a speech segment. There are seven stuttering-related classes and an eighth garbage …
of a speech segment. There are seven stuttering-related classes and an eighth garbage …