Results 21 to 30 of about 246,748 (291)

Automatic annotation of tennis games: An integration of audio, vision, and learning [PDF]

, 1999
Fully automatic annotation of tennis game using broadcast video is a task with a great potential but with enormous challenges. In this paper we describe our approach to this task, which integrates computer vision, machine listening, and machine learning.
Fei Yan, Josef Kittler, David Windridge, William Christmas, Krystian Mikolajczyk, Stephen Cox, Qiang Huang, Kijak, Kolonias, Huang, Yu, Ekinci, Zhu, Yan, Christmas, Yan, Kijak, Coldefy, Zhu, Lai, Hartley, Kittler, Huang, Tsochantaridis, Joachims, Altun, Taskar, Ng   +27 more
core   +1 more source

Limitations and Performance Analysis of Spherical Sector Harmonics for Sound Field Processing

Applied Sciences
Developing spherical sector harmonics (SSHs) benefits sound field decomposition and analysis over spherical sector regions. Although SSHs demonstrate potential in the field of spatial audio, a comprehensive investigation into their properties and ...
Hanwen Bi, Shaoheng Xu, Fei Ma, Thushara D. Abhayapala, Prasanga N. Samarasinghe   +4 more
doaj   +1 more source

Speech enhancement methods based on binaural cue coding

EURASIP Journal on Audio, Speech, and Music Processing, 2019
According to the encoding and decoding mechanism of binaural cue coding (BCC), in this paper, the speech and noise are considered as left channel signal and right channel signal of the BCC framework, respectively.
Xianyun Wang, Changchun Bao
doaj   +1 more source

A framework for invertible, real-time constant-Q transforms

, 2012
Audio signal processing frequently requires time-frequency representations and in many applications, a non-linear spacing of frequency-bands is preferable.
Dörfler, Monika, Grill, Thomas, Holighaus, Nicki, Velasco, Gino Angelo   +3 more
core   +1 more source

Asynchronous spiking neurons, the natural key to exploit temporal sparsity [PDF]

, 2019
Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic ...
Cavalcante Holanda, Priscila, Dhoedt, Bart, Hoseini, Sahar, Khoei, Mina A., Leroux, Sam, Linares-Barranco, Bernabe, Moreira, Orlando, Serrano-Gotarredona, Teresa, Simoens, Pieter, Tapson, Jonathan, Yousefzadeh, Amirreza   +10 more
core   +1 more source

Room Impulse Response Dataset of a Recording Studio with Variable Wall Paneling Measured Using a 32-Channel Spherical Microphone Array and a B-Format Microphone Array

Applied Sciences
This paper introduces RSoANU, a dataset of real multichannel room impulse responses (RIRs) obtained in a recording studio. Compared to the current publicly available datasets, RSoANU distinguishes itself by featuring RIRs captured using both a 32-channel
Grace Chesworth, Amy Bastine, Thushara Abhayapala   +2 more
doaj   +1 more source

Intelligibility and Listening Effort of Spanish Oesophageal Speech

Applied Sciences, 2019
Communication is a huge challenge for oesophageal speakers, be it for interactions with fellow humans or with digital voice assistants. We aim to quantify these communication challenges (both human−human and human−machine interactions) by ...
Sneha Raman, Luis Serrano, Axel Winneke, Eva Navas, Inma Hernaez   +4 more
doaj   +1 more source

Deep Learning for Audio Signal Processing

, 2019
Given the recent surge in developments of deep learning, this article provides a review of the state-of-the-art deep learning techniques for audio signal processing.
Chang, Shuo-yiin, Li, Bo, Purwins, Hendrik, Sainath, Tara, Schlüter, Jan, Virtanen, Tuomas   +5 more
core   +1 more source

Adaptive DCTNet for Audio Signal Classification

, 2017
In this paper, we investigate DCTNet for audio signal classification. Its output feature is related to Cohen's class of time-frequency distributions. We introduce the use of adaptive DCTNet (A-DCTNet) for audio signals feature extraction.
Gan, Zhe, Lu, Liang, Pu, Yunchen, Thompson, Andrew, Xian, Yin   +4 more
core   +1 more source

Special Issue on “Sound and Music Computing”

Applied Sciences, 2018
Sound and music computing is a young and highly multidisciplinary research field. [...]
Tapio Lokki, Meinard Müller, Stefania Serafin, Vesa Välimäki   +3 more
doaj   +1 more source