Forward Attention in Sequence-to-sequence Acoustic Modelling for Speech Synthesis
This paper proposes a forward attention method for the sequenceto- sequence acoustic modeling of speech synthesis. This method is motivated by the nature of the monotonic alignment from phone sequences to acoustic sequences. Only the alignment paths that
Dai, Li-Rong +2 more
core +1 more source
Waveguide physical modeling of vocal tract acoustics: flexible formant bandwidth control from increased model dimensionality [PDF]
Digital waveguide physical modeling is often used as an efficient representation of acoustical resonators such as the human vocal tract. Building on the basic one-dimensional (1-D) Kelly-Lochbaum tract model, various speech synthesis techniques ...
Howard, D M, Mullen, J, Murphy, D T
core +1 more source
An Archaeoacoustics Analysis of Cistercian Architecture: The Case of the Beaulieu Abbey
The Cistercian order is of acoustic interest because previous research has hypothesized that Cistercian architectural structures were designed for longer reverberation times in order to reinforce Gregorian chants.
Sebastian Duran +2 more
doaj +1 more source
Online distributed waveform-synchronization for acoustic sensor networks with dynamic topology
Acoustic sensing by multiple devices connected in a wireless acoustic sensor network (WASN) creates new opportunities for multichannel signal processing. However, the autonomy of agents in such a network still necessitates the alignment of sensor signals
Aleksej Chinaev +2 more
doaj +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
CCHAN: An End to End Model for Cross Domain Sentiment Classification
Cross domain sentiment classification (CDSC) aims to adopt a model trained by a source domain to a target domain. It has received considerable attention in recent years.
Tu Manshu, Zhao Xuemin
doaj +1 more source
Despite the remarkable progress achieved on automatic speech recognition, recognizing far-field speeches mixed with various noise sources is still a challenging task.
El-Khamy, Mostafa +2 more
core +1 more source
Vowel Production in Mandarin Accented English and American English: Kinematic and Acoustic Data from the Marquette University Mandarin Accented English Corpus [PDF]
Few electromagnetic articulography (EMA) datasets are publicly available, and none have focused systematically on non-native accented speech. We introduce a kinematic-acoustic database of speech from 40 (gender and dialect balanced) participants ...
Berry, Jeffrey J. +2 more
core +2 more sources
Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek +11 more
wiley +1 more source
Continuous speech recognition by convolutional neural networks
Convolutional neural networks (CNNs), which show success in achieving translation invariance for many image processing tasks, were investigated for continuous speech recognition.
ZHANG Qing-qing +3 more
doaj +1 more source

