Speech recognition

Known as: Speech recognizer, Voice dialing, Voice to text 
Speech recognition (SR) is the inter-disciplinary sub-field of computational linguistics which incorporates knowledge and research in the linguistics… (More)
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Topic mentions per year

Topic mentions per year

1954-2019
05001000150019542018

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
With the ever-growing volume, complexity and dynamicity of online information, recommender system has been an e‚ective key… (More)
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Review
2017
Review
2017
Since the proposal of a fast learning algorithm for deep belief networks in 2006, the deep learning techniques have drawn ever… (More)
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Review
2017
Review
2017
Deep neural networks (DNNs) are currently widely used for many artificial intelligence (AI) applications including computer… (More)
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Highly Cited
2014
Highly Cited
2014
Recently, the hybrid deep neural network (DNN)- hidden Markov model (HMM) has been shown to significantly improve speech… (More)
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… (More)
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Highly Cited
2013
Highly Cited
2013
Deep Bidirectional LSTM (DBLSTM) recurrent neural networks have recently been shown to give state-of-the-art performance on the… (More)
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Highly Cited
2011
Highly Cited
2011
We describe the design of Kaldi, a free, open-source toolkit for speech recognition research. Kaldi provides a speech recognition… (More)
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Highly Cited
2000
Highly Cited
2000
This paper describes a speech recognition system that uses both acoustic and visual speech information to improve the recognition… (More)
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Highly Cited
1998
Highly Cited
1998
This paper examines the application of linear transformations for speaker and environmental adaptation in an HMM-based speech… (More)
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Highly Cited
1997
Highly Cited
1997
A critical component in the pattern matching approach to speech recognition is the training algorithm, which aims at producing… (More)
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