Audio and acoustics

Publication

Ultrasound-based Gesture Recognition

Amit Das, Ivan Tashev, Shuayb Zarar

IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP) | March 2017

Project Project

Publication

Interaural time delay personalisation using incomplete head scans

Hannes Gamper, David Johnston, Ivan Tashev

Proc. ICASSP | March 2017

Project

Publication

Cost Function for Sound Source Localization with Arbitrary Microphone Arrays

Ivan Tashev, Long Le, Vani Gopalakrishna, Andrew Lovitt

Proc. HSCMA | March 2017

Project

Publication

Clock drift estimation and compensation for asynchronous impulse response measurements

Hannes Gamper

Proc. Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA) | March 2017

Publication

Online Meeting Recognition in Noisy Environments with Time-Frequency Mask Based MVDR Beamforming

Shoko Araki, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Takuya Higuchi, Takuya Yoshioka, Dong Tran, Shigeki Karita, Tomohiro Nakatani

HSCMA 2017 | March 2017

Project

Neural Networks-based Speech Enhancement

The goal of speech enhancement is to take the audio signal from a microphone, clean it and forward clean audio to multiple clients such as speech-recognition software, archival databases and speakers.

Publication

Speech Emotion Recognition based on Gaussian Mixture Models and Deep Neural Networks

Ivan Tashev, Zhong-Qiu Wang, Keith Godin

Proc. ITA | February 2017

Project

Publication

Online MVDR Beamformer Based on Complex Gaussian Mixture Model With Spatial Prior for Noise Robust ASR

Takuya Higuchi, Nobutaka Ito, Shoko Araki, Takuya Yoshioka, Marc Delcroix, Tomohiro Nakatani

IEEE/ACM Transactions on Audio, Speech, and Language Processing | February 2017, Vol 25: pp. 780-793

Project

SoundWave: Using the Doppler Effect to Sense Gestures

We present SoundWave, a technique that leverages the speaker and microphone already embedded in most commodity devices to sense in-air gestures around the device.

Project

Computational Tools for Music

Work in this area seeks to use computational tools to enable musical creativity, in particular to give novices a variety of new approaches to experience musical creativity.