EMG-to-speech: Direct generation of speech from facial electromyographic signals
Silent speech interfaces are systems that enable speech communication even when an
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …
acoustic signal is unavailable. Over the last years, public interest in such interfaces has …
Recognizing emotions from whispered speech based on acoustic feature transfer learning
Whispered speech, as an alternative speaking style for normal phonated (non-whispered)
speech, has received little attention in speech emotion recognition. Currently, speech …
speech, has received little attention in speech emotion recognition. Currently, speech …
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
T Rajesh Kumar, GR Suresh… - Computational …, 2020 - Wiley Online Library
Communication becomes effective when the speech signal arrives with the profound
characteristics. This insisted the researchers to develop an automatic system of recognizing …
characteristics. This insisted the researchers to develop an automatic system of recognizing …
Direct conversion from facial myoelectric signals to speech using deep neural networks
This paper presents our first results using Deep Neural Networks for surface
electromyographic (EMG) speech synthesis. The proposed approach enables a direct …
electromyographic (EMG) speech synthesis. The proposed approach enables a direct …
[PDF][PDF] Whispered Speech to Neutral Speech Conversion Using Bidirectional LSTMs.
GN Meenakshi, PK Ghosh - Interspeech, 2018 - isca-archive.org
We propose a bidirectional long short-term memory (BLSTM) based whispered speech to
neutral speech conversion system that employs the STRAIGHT speech synthesizer. We use …
neutral speech conversion system that employs the STRAIGHT speech synthesizer. We use …
Vocal effort based speaking style conversion using vocoder features and parallel learning
Speaking style conversion (SSC) is the technology of converting natural speech signals from
one style to another. In this study, we aim to provide a general SSC system for converting …
one style to another. In this study, we aim to provide a general SSC system for converting …
Effectiveness of cross-domain architectures for whisper-to-normal speech conversion
Though whisper is a typical way of natural speech communication, it is different from normal
speech wrt to speech production and perception perspective. Recently, authors have …
speech wrt to speech production and perception perspective. Recently, authors have …
Cycle-consistent adversarial networks for non-parallel vocal effort based speaking style conversion
Speaking style conversion (SSC) is the technology of converting natural speech signals from
one style to another. In this study, we propose the use of cycle-consistent adversarial …
one style to another. In this study, we propose the use of cycle-consistent adversarial …
Speech enhancement approach for body-conducted unvoiced speech based on Taylor–Boltzmann machines trained DNN
Communication becomes effectual while the verbal communication signal reaches the
destination with profound characteristics. An application based on human voice attracts the …
destination with profound characteristics. An application based on human voice attracts the …
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 …