Contains fulltext : 159235.pdf (publisher's version ) (Open Access) Contains fulltext : 159235pos.pdf (postprint version ) (Open Access)5th Workshop on Spoken Language Technologies for Under-resourced Languages, 9 mei 201
Posterior-based or bottleneck features derived from neural net-works trained on out-of-domain data m...
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
We investigate multilingual modeling in the context of a deep neural network (DNN) – hidden Markov ...
AbstractIn this paper, a code-switching automatic speech recognition (ASR) system built for the Fris...
Abstract — Speech Recognition is the translation of spoken words into text. Speech recognition invol...
Languages are fundamental to human communication and serve as a means to express social and cultural...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Contains fulltext : 201667.pdf (Publisher’s version ) (Open Access)MMM 201
Deep neural networks have boosted the convergence of multimedia data analytics in a unified framewor...
Recent, advances in machine learning have greatly expanded the extent which allow people using their...
The development of high-performance speech processing systems for low-resource languages is a challe...
Many languages identification (LID) systems rely on language models that use machine learning (ML) a...
Over these last few years, the use of Artificial Neural Networks (ANNs), now often referred to as de...
Language recognition systems based on bottleneck features have recently become the state-of-the-art ...
IntroductionIn recent years, machines powered by deep learning have achieved near-human levels of pe...
Posterior-based or bottleneck features derived from neural net-works trained on out-of-domain data m...
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
We investigate multilingual modeling in the context of a deep neural network (DNN) – hidden Markov ...
AbstractIn this paper, a code-switching automatic speech recognition (ASR) system built for the Fris...
Abstract — Speech Recognition is the translation of spoken words into text. Speech recognition invol...
Languages are fundamental to human communication and serve as a means to express social and cultural...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Contains fulltext : 201667.pdf (Publisher’s version ) (Open Access)MMM 201
Deep neural networks have boosted the convergence of multimedia data analytics in a unified framewor...
Recent, advances in machine learning have greatly expanded the extent which allow people using their...
The development of high-performance speech processing systems for low-resource languages is a challe...
Many languages identification (LID) systems rely on language models that use machine learning (ML) a...
Over these last few years, the use of Artificial Neural Networks (ANNs), now often referred to as de...
Language recognition systems based on bottleneck features have recently become the state-of-the-art ...
IntroductionIn recent years, machines powered by deep learning have achieved near-human levels of pe...
Posterior-based or bottleneck features derived from neural net-works trained on out-of-domain data m...
Speech is the most effective means for humans to communicate their ideas and emotions across a varie...
We investigate multilingual modeling in the context of a deep neural network (DNN) – hidden Markov ...
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