AIMC Topic: Speech Recognition Software

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End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition.

Scientific reports Jul 2, 2025
Speech enhancement (SE) and automatic speech recognition (ASR) in real-time processing involve improving the quality and intelligibility of speech signals on the fly, ensuring accurate transcription as the speech unfolds. SE eliminates unwanted backg...
Humans Signal Processing, Computer-Assisted Speech Recognition Software Speech Intelligibility Speech Noise Algorithms
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MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.

Scientific reports Jul 1, 2025
Extracting richer emotional representations from raw speech is one of the key approaches to improving the accuracy of Speech Emotion Recognition (SER). In recent years, there has been a trend in utilizing self-supervised learning (SSL) for extracting...
Supervised Machine Learning Speech Recognition Software Speech Emotions Humans Algorithms
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A novel Swin transformer based framework for speech recognition for dysarthria.

Scientific reports Jun 16, 2025
Dysarthria frequently occurs in individuals with disorders such as stroke, Parkinson's disease, cerebral palsy, and other neurological disorders. Well-timed detection and management of dysarthria in these patients is imperative for efficiently handli...
Speech Speech Recognition Software Humans Machine Learning Dysarthria Algorithms
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A study on phonemes recognition method for Mandarin pronunciation based on improved Zipformer-RNN-T(Pruned) modeling.

PloS one May 23, 2025
In recent years, empowered by artificial intelligence technologies, computer-assisted language learning systems have gradually become a hot topic of research. Currently, the mainstream pronunciation assessment models rely on advanced speech recogniti...
Algorithms Language China Neural Networks, Computer Artificial Intelligence Humans Speech Recognition Software Phonetics
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A Dataset of Real and Synthetic Speech in Ukrainian.

Scientific data May 6, 2025
This work is dedicated to the analysis and evaluation of the DRSSU dataset: A Dataset of Real and Synthetic Speech in Ukrainian, created to support research in the field of natural language processing and speech recognition. The dataset contains a un...
Natural Language Processing Speech Recognition Software Ukraine Language Speech Humans Machine Learning
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Automatic development of speech-in-noise hearing tests using machine learning.

Scientific reports Apr 15, 2025
Understanding speech in noisy environments is a primary challenge for individuals with hearing loss, affecting daily communication and quality of life. Traditional speech-in-noise tests are essential for screening and diagnosing hearing loss but are ...
Hearing Loss Machine Learning Speech Perception Middle Aged Female Adult Hearing Tests Humans Noise Male Speech Recognition Software
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A study on innovation resistance of artificial intelligence voice assistants based on privacy infringement and risk perception.

PloS one Apr 8, 2025
As a vital tool for human-computer interaction, artificial intelligence (AI) voice assistants have become an integral part of individuals' everyday routines. However, there are still a series of problems caused by privacy violations in current use. T...
Male Middle Aged Speech Recognition Software Female Voice Humans Young Adult Privacy Artificial Intelligence Adult
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Machine learning-assisted wearable sensing systems for speech recognition and interaction.

Nature communications Mar 10, 2025
The human voice stands out for its rich information transmission capabilities. However, voice communication is susceptible to interference from noisy environments and obstacles. Here, we propose a wearable wireless flexible skin-attached acoustic sen...
Machine Learning Female Humans Voice Speech Adult Wireless Technology Wearable Electronic Devices Male Acoustics Speech Recognition Software
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Machine learning tools match physician accuracy in multilingual text annotation.

Scientific reports Feb 14, 2025
In the medical field, text annotation involves categorizing clinical and biomedical texts with specific medical categories, enhancing the organization and interpretation of large volumes of unstructured data. This process is crucial for developing to...
Data Curation Multilingualism Natural Language Processing Humans Terminology as Topic Machine Learning Physicians Speech Recognition Software Generative Artificial Intelligence
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Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition.

IEEE transactions on pattern analysis and machine intelligence Jan 9, 2025
Visual Speech Recognition (VSR) aims to infer speech into text depending on lip movements alone. As it focuses on visual information to model the speech, its performance is inherently sensitive to personal lip appearances and movements, and this make...
Algorithms Deep Learning Speech Humans Neural Networks, Computer Speech Recognition Software Image Processing, Computer-Assisted Natural Language Processing
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