Speech Recognition With No Speech Or With Noisy Speech Beyond English

06/17/2019
by   Gautam Krishna, et al.
0

In this paper we demonstrate continuous noisy speech recognition using connectionist temporal classification (CTC) model on limited Chinese vocabulary using electroencephalography (EEG) features with no speech signal as input and we further demonstrate single CTC model based continuous noisy speech recognition on limited joint English and Chinese vocabulary using EEG features with no speech signal as input.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/17/2019

Advancing Speech Recognition With No Speech Or With Noisy Speech

In this paper we demonstrate end to end continuous speech recognition (C...
research
08/25/2016

Speech Is 3x Faster than Typing for English and Mandarin Text Entry on Mobile Devices

With laptops and desktops, the dominant method of text entry is the full...
research
12/07/2015

THCHS-30 : A Free Chinese Speech Corpus

Speech data is crucially important for speech recognition research. Ther...
research
07/06/2018

Tone Recognition Using Lifters and CTC

In this paper, we present a new method for recognizing tones in continuo...
research
10/31/2018

Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition

Low power digital signal processors (DSPs) typically have a very limited...
research
01/10/2013

Statistical Modeling in Continuous Speech Recognition (CSR)(Invited Talk)

Automatic continuous speech recognition (CSR) is sufficiently mature tha...
research
12/22/2014

Learning linearly separable features for speech recognition using convolutional neural networks

Automatic speech recognition systems usually rely on spectral-based feat...

Please sign up or login with your details

Forgot password? Click here to reset