WESPER: Zero-shot and realtime whisper to normal voice conversion for whisper-based speech interactions

J Rekimoto - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
Recognizing whispered speech and converting it to normal speech creates many
possibilities for speech interaction. Because the sound pressure of whispered speech is …

Tongueboard: An oral interface for subtle input

R Li, J Wu, T Starner - Proceedings of the 10th Augmented Human …, 2019 - dl.acm.org
We present TongueBoard, a retainer form-factor device for recognizing non-vocalized
speech. TongueBoard enables absolute position tracking of the tongue by placing …

Exploring silent speech interfaces based on frequency-modulated continuous-wave radar

D Ferreira, S Silva, F Curado, A Teixeira - Sensors, 2022 - mdpi.com
Speech is our most natural and efficient form of communication and offers a strong potential
to improve how we interact with machines. However, speech communication can sometimes …

SilentSpeller: Towards mobile, hands-free, silent speech text entry using electropalatography

N Kimura, T Gemicioglu, J Womack, R Li… - Proceedings of the …, 2022 - dl.acm.org
Speech is inappropriate in many situations, limiting when voice control can be used. Most
unvoiced speech text entry systems can not be used while on-the-go due to movement …

[PDF][PDF] Domain-Adversarial Training for Session Independent EMG-based Speech Recognition.

M Wand, T Schultz, J Schmidhuber - Interspeech, 2018 - isca-archive.org
We present our research on continuous speech recognition based on Surface
Electromyography (EMG), where speech information is captured by electrodes attached to …

The AM4I architecture and framework for multimodal interaction and its application to smart environments

N Almeida, A Teixeira, S Silva, M Ketsmur - Sensors, 2019 - mdpi.com
Technologies, such as smart sensors, actuators, and other kinds of devices, are often
installed in our environments (eg, our Homes) and available to integrate our daily lives …

DualVoice: Speech Interaction That Discriminates between Normal and Whispered Voice Input

J Rekimoto - Proceedings of the 35th Annual ACM Symposium on …, 2022 - dl.acm.org
Interactions based on automatic speech recognition (ASR) have become widely used, with
speech input being increasingly utilized to create documents. However, as there is no easy …

Derma: silent speech interaction using transcutaneous motion sensing

J Rekimoto, Y Nishimura - Proceedings of the Augmented Humans …, 2021 - dl.acm.org
Silent speech interaction (SSI) enables speech communication without uttering an actual
voice and can have a potential to make speech interaction available in public places …

Identification of imagined bengali vowels from EEG signals using activity map and convolutional neural network

R Ghosh, N Sinha, S Phadikar - Brain‐Computer Interface …, 2023 - Wiley Online Library
Classification of electroencephalogram (EEG) signals is challenging due to its non‐
stationary nature and poor spectral resolution wrt time. This chapter presents a novel feature …

Human-inspired computational models for European Portuguese: a review

A Teixeira, S Silva - Language Resources and Evaluation, 2024 - Springer
This paper surveys human-inspired speech technologies developed for European
Portuguese and the computational models they integrate and made them possible. In this …