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 …
possibilities for speech interaction. Because the sound pressure of whispered speech is …
Tongueboard: An oral interface for subtle input
We present TongueBoard, a retainer form-factor device for recognizing non-vocalized
speech. TongueBoard enables absolute position tracking of the tongue by placing …
speech. TongueBoard enables absolute position tracking of the tongue by placing …
Exploring silent speech interfaces based on frequency-modulated continuous-wave radar
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 …
to improve how we interact with machines. However, speech communication can sometimes …
SilentSpeller: Towards mobile, hands-free, silent speech text entry using electropalatography
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 …
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.
We present our research on continuous speech recognition based on Surface
Electromyography (EMG), where speech information is captured by electrodes attached to …
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
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 …
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 …
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 …
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
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 …
stationary nature and poor spectral resolution wrt time. This chapter presents a novel feature …
Human-inspired computational models for European Portuguese: a review
This paper surveys human-inspired speech technologies developed for European
Portuguese and the computational models they integrate and made them possible. In this …
Portuguese and the computational models they integrate and made them possible. In this …