Identifying mild cognitive impairment and mild Alzheimer's disease based on spontaneous speech using ASR and linguistic features
Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …
clinical manifestation, while mild cognitive impairment is clinically considered as a …
Exploring appropriate acoustic and language modelling choices for continuous dysarthric speech recognition
There has been much recent interest in building continuous speech recognition systems for
people with severe speech impairments, eg, dysarthria. However, the datasets that are …
people with severe speech impairments, eg, dysarthria. However, the datasets that are …
Child speech recognition on end-to-end neural asr models
S Shraddha, S Kumar - 2022 2nd International Conference …, 2022 - ieeexplore.ieee.org
Automatic speech recognition (ASR) is an area which is having maximum improvement and
is developing to a very high extent as far as adult speech is concerned. Nevertheless, child …
is developing to a very high extent as far as adult speech is concerned. Nevertheless, child …
[图书][B] Novel techniques for dialectal arabic speech recognition
Novel Techniques for Dialectal Arabic Speech describes approaches to improve automatic
speech recognition for dialectal Arabic. Since speech resources for dialectal Arabic speech …
speech recognition for dialectal Arabic. Since speech resources for dialectal Arabic speech …
[HTML][HTML] Exploiting foreign resources for DNN-based ASR
Manual transcription of audio databases for the development of automatic speech
recognition (ASR) systems is a costly and time-consuming process. In the context of deriving …
recognition (ASR) systems is a costly and time-consuming process. In the context of deriving …
An overview of the ADReSS-M Signal Processing Grand Challenge on Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech
The ADReSS-M Signal Processing Grand Challenge was held at the 2023 IEEE
International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023. The …
International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023. The …
Automatic speech recognition: a comprehensive survey
Speech recognition is an interdisciplinary subfield of natural language processing (NLP) that
facilitates the recognition and translation of spoken language into text by machine. Speech …
facilitates the recognition and translation of spoken language into text by machine. Speech …
Automated speech recognition in adult stroke survivors: Comparing human and computer transcriptions
Objective: Speech sound errors are common in people with a variety of communication
disorders and can result in impaired message transmission to listeners. Valid and reliable …
disorders and can result in impaired message transmission to listeners. Valid and reliable …
[PDF][PDF] Combining non-pathological data of different language varieties to improve DNN-HMM performance on pathological speech
Research on automatic speech recognition (ASR) of pathological speech is particularly
hindered by scarce in-domain data resources. Collecting representative pathological …
hindered by scarce in-domain data resources. Collecting representative pathological …
Cross-linguistic adaptations of The Comprehensive Aphasia Test: Challenges and solutions
Comparative research on aphasia and aphasia rehabilitation is challenged by the lack of
comparable assessment tools across different languages. In English, a large array of tools is …
comparable assessment tools across different languages. In English, a large array of tools is …