A novel adaptive artifacts wavelet Denoising for EEG artifacts removal using deep learning with Meta-heuristic approach
Electroencephalogram (EEG) is said to be a common tool to control neurological disorders,
performed medical diagnoses, and cognitive research. But, EEG is generally polluted …
performed medical diagnoses, and cognitive research. But, EEG is generally polluted …
The effectiveness of time stretching for enhancing dysarthric speech for improved dysarthric speech recognition
L Prananta, BM Halpern, S Feng… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we investigate several existing and a new state-of-the-art generative
adversarial network-based (GAN) voice conversion method for enhancing dysarthric speech …
adversarial network-based (GAN) voice conversion method for enhancing dysarthric speech …
Machine Learning Approaches for Whisper to Normal Speech Conversion: A Survey
MA Oliveira - U. Porto Journal of Engineering, 2022 - ijooes.fe.up.pt
Whispered speech is a mode of speech that differs from normal speech due to the absence
of a periodic component, namely the Fundamental Frequency that characterizes the pitch …
of a periodic component, namely the Fundamental Frequency that characterizes the pitch …
A novel attention-guided generative adversarial network for whisper-to-normal speech conversion
T Gao, Q Pan, J Zhou, H Wang, L Tao, HK Kwan - Cognitive Computation, 2023 - Springer
Whispered speech is a special voicing style of speech that is employed publicly to protect
speech information. It is also the primary pronunciation form for aphonic individuals with …
speech information. It is also the primary pronunciation form for aphonic individuals with …
Intelligibility improvement of dysarthric speech using mmse discogan
Dysarthria is a manifestation of the disordering in articulatory parts that are used during
speech production, which results in uneven, slow, slurred, monotone speech or speech in …
speech production, which results in uneven, slow, slurred, monotone speech or speech in …
[图书][B] Machine learning and deep learning in natural language processing
Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and
computer science and is concerned with the generation, recognition, and understanding of …
computer science and is concerned with the generation, recognition, and understanding of …
Generative models for improved naturalness, intelligibility, and voicing of whispered speech
This work adapts two recent architectures of generative models and evaluates their
effectiveness for the conversion of whispered speech to normal speech. We incorporate the …
effectiveness for the conversion of whispered speech to normal speech. We incorporate the …
Novel adaptive generative adversarial network for voice conversion
Voice Conversion (VC) converts the speaking style of a source speaker to the speaking style
of a target speaker by preserving the linguistic content of a given speech utterance …
of a target speaker by preserving the linguistic content of a given speech utterance …
CinC-GAN for Effective F0 prediction for Whisper-to-Normal Speech Conversion
Recently, Generative Adversarial Networks (GAN) based methods have shown remarkable
performance for the Voice Conversion and WHiSPer-to-normal SPeeCH (WHSP2SPCH) …
performance for the Voice Conversion and WHiSPer-to-normal SPeeCH (WHSP2SPCH) …
Attention-guided generative adversarial network for whisper to normal speech conversion
T Gao, J Zhou, H Wang, L Tao, HK Kwan - arXiv preprint arXiv:2111.01342, 2021 - arxiv.org
Whispered speech is a special way of pronunciation without using vocal cord vibration. A
whispered speech does not contain a fundamental frequency, and its energy is about 20dB …
whispered speech does not contain a fundamental frequency, and its energy is about 20dB …