automatic speech recognition task
Modelling Segmental Variability for Automatic Speech Recognition
... speaker-dependent task of isolated- word recognition of consonant-vowel syllables, using a combination of linear with non-linear units in MLP predictors gave better recognition performance than using ...
267
Exploring Automatic Speech Recognition with TensorFlow
... Experiments have been run with the computational resources available at the Image Processing Group of the Universitat Politecnica de Catalunya. When dealing with deep learning projects, one of the main concerns is the ...
36
Automatic speech recognition with deep neural networks for impaired speech
... Several works report improvements using CNNs, TDNNs and LSTMs with respect to DNNs, especially for large vocabularies [17, 1, 13, 18, 7, 11]. We do not find this behaviour in our task. The reasons are twofold: the ...
11
Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?
... representative speech samples from a user to create or to augment an acoustic database ...dysarthric speech [12]. Another project, the Universal Access (UA) dysarthria speech database has gathered a ...
7
Introspection for convolutional automatic speech recognition
... Artificial Neural Networks (ANNs) have expe- rienced great success in the past few years. The increasing complexity of these models leads to less understanding about their decision processes. Therefore, introspection ...
13
An analysis of the influence of deep neural network (DNN) topology in bottleneck feature based language recognition
... Language recognition systems based on bottleneck features have recently become the state-of-the-art in this research field, showing its success in the last Language Recognition Evaluation (LRE 2015) ...
22
An enhanced automatic speech recognition system for Arabic
... Automatic speech recognition for Arabic is a very challenging ...for Automatic Speech Recognition (ASR), which can be effi- ciently applied to Arabic speech recogni- tion, ...
9
Quality Estimation for Automatic Speech Recognition
... (a task featuring strong similarities with ours), these issues have recently motivated studies on domain adapta- tion and online learning techniques (de Souza et ...
11
The WaveSurfer Automatic Speech Recognition Plugin
... The Grammar type option lets the user choose among few example grammars that were provided by the language package. Examples can be digits, 1kwords for 1000 word grammar, and so on. These examples are provided as a ...
5
Evaluating Automatic Speech Recognition in Translation
... different task scenarios where each of the task components is measured in ...The task consists of (i) correcting the ASR output, and (ii) translating the document into ...
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Pauses and the temporal structure of speech
... read speech, in that spontaneous speech is much more conducive to pauses of cognitive origin than is read ...advanced automatic speech recognition mechanisms could conceivably benefit ...
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UCSY-SC1: A Myanmar speech corpus for automatic speech recognition
... this task, the domain of the speech corpus is extended. The speech corpus is named as "UCSY-SC1" and it is constructed by using two types of domain: web news and daily ...language ...
9
Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home
... distress speech in the home of seniors to provide reassurance and ...the automatic speech recognition system which must work under distant speech condition and with expressive ...
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Experiments on Automatic Recognition of Nonnative Arabic Speech
... The automatic recognition of foreign-accented Arabic speech is a challenging task since it involves a large number of nonnative ...nonnative speech data available for training are ...
9
Continual deep learning via progressive learning
... usually task-specific or ...image recognition, Automatic Speech Recognition (ASR), and Speech Emotion Recognition (SER), were formulated and studied in a systematic ...SER ...
175
A Review On Different Feature Recognition Techniques For Speech Process In Automatic Speech Recognition.
... of speech recognition has extensively ...progress, speech recognition has turn out to be gradually more embedded in our on a daily basis lives with voice-motivated ...the task that ...
5
A survey on automatic speech recognition system
... days Speech recognition is integrated with numerous real world applications such as telecommunications, Health care, Military, Robotics, Telecommunications, Mobile Applications, Scan soft, [2] and ...
11
Literature Review on Automatic Speech Recognition
... word speech recognition is the system where the words are separated by ...word speech recognition is a class of fluent speech strings where the set of strings is derived from ...
9
AUTOMATIC EMOTION RECOGNITION FROM SPEECH SIGNAL
... emotion recognition emphasized the use of combination of different features to achieve improvement in the recognition ...emotion recognition using developed Hausa data set that is not available in ...
10
Morphosyntactic Resources for Automatic Speech Recognition
... and automatic transcriptions, which establishes therefore that morphosyntactic tagging is reliable, even for text produced by an ASR system whose recognition errors are likely to jeopardize the tagging of ...
7