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1
Speaker recognition with hybrid features from a deep belief network
Speaker recognition with hybrid features from a deep belief network
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Speaker recognition with hybrid features from a deep belief network

Neural computing & applications, 2018-03, Vol.29 (6), p.13-19 [Peer Reviewed Journal]

The Natural Computing Applications Forum 2016 ;Copyright Springer Science & Business Media 2018 ;ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-016-2501-7

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2
Computationally efficient frame-averaged FM feature extraction for speaker recognition
Computationally efficient frame-averaged FM feature extraction for speaker recognition
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Computationally efficient frame-averaged FM feature extraction for speaker recognition

Electronics letters, 2009-03, Vol.45 (6), p.1-1 [Peer Reviewed Journal]

ISSN: 0013-5194 ;EISSN: 1350-911X ;CODEN: ELLEAK

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3
Methods for applying VAD in Kazakh speech recognition systems
Methods for applying VAD in Kazakh speech recognition systems
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Methods for applying VAD in Kazakh speech recognition systems

International journal of speech technology, 2014-06, Vol.17 (2), p.199-204 [Peer Reviewed Journal]

Springer Science+Business Media New York 2013 ;ISSN: 1381-2416 ;EISSN: 1572-8110 ;DOI: 10.1007/s10772-013-9220-6 ;CODEN: ISTEFM

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4
Bucking the trend: improved evaluation and annotation practices for ESL error detection systems
Bucking the trend: improved evaluation and annotation practices for ESL error detection systems
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Bucking the trend: improved evaluation and annotation practices for ESL error detection systems

Language Resources and Evaluation, 2014-03, Vol.48 (1), p.5-31 [Peer Reviewed Journal]

Springer Science+Business Media 2014 ;Springer Science+Business Media Dordrecht 2013 ;Springer Science+Business Media Dordrecht 2014 ;ISSN: 1574-020X ;EISSN: 1572-8412 ;EISSN: 1574-0218 ;DOI: 10.1007/s10579-013-9243-2 ;CODEN: COHUAD

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5
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR
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Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR

arXiv.org, 2020-12

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2006.02786

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6
A Simplified Fully Quantized Transformer for End-to-end Speech Recognition
A Simplified Fully Quantized Transformer for End-to-end Speech Recognition
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A Simplified Fully Quantized Transformer for End-to-end Speech Recognition

arXiv.org, 2020-03

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1911.03604

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7
Learning to Count Words in Fluent Speech enables Online Speech Recognition
Learning to Count Words in Fluent Speech enables Online Speech Recognition
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Learning to Count Words in Fluent Speech enables Online Speech Recognition

arXiv.org, 2020-11

2020. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2006.04928

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8
SYSTEMS AND METHODS FOR AUTOMATED SOCIAL SYNCHRONY MEASUREMENTS
SYSTEMS AND METHODS FOR AUTOMATED SOCIAL SYNCHRONY MEASUREMENTS
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SYSTEMS AND METHODS FOR AUTOMATED SOCIAL SYNCHRONY MEASUREMENTS

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9
METHOD FOR CONTROLLING PLURALITY OF VOICE RECOGNIZING DEVICES AND ELECTRONIC DEVICE SUPPORTING THE SAME
METHOD FOR CONTROLLING PLURALITY OF VOICE RECOGNIZING DEVICES AND ELECTRONIC DEVICE SUPPORTING THE SAME
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METHOD FOR CONTROLLING PLURALITY OF VOICE RECOGNIZING DEVICES AND ELECTRONIC DEVICE SUPPORTING THE SAME

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10
WAKE WORD SELECTION ASSISTANCE ARCHITECTURES AND METHODS
WAKE WORD SELECTION ASSISTANCE ARCHITECTURES AND METHODS
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WAKE WORD SELECTION ASSISTANCE ARCHITECTURES AND METHODS

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11
VOICE TO TEXT CONVERSION BASED ON THIRD-PARTY AGENT CONTENT
VOICE TO TEXT CONVERSION BASED ON THIRD-PARTY AGENT CONTENT
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VOICE TO TEXT CONVERSION BASED ON THIRD-PARTY AGENT CONTENT

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12
SYSTEMS AND METHODS FOR GPT GUIDED NEURAL PUNCTUATION FOR CONVERSATIONAL SPEECH
SYSTEMS AND METHODS FOR GPT GUIDED NEURAL PUNCTUATION FOR CONVERSATIONAL SPEECH
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SYSTEMS AND METHODS FOR GPT GUIDED NEURAL PUNCTUATION FOR CONVERSATIONAL SPEECH

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13
Multi-Output Decoders for Multi-Task Learning of ASR and Auxiliary Tasks
Multi-Output Decoders for Multi-Task Learning of ASR and Auxiliary Tasks
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Multi-Output Decoders for Multi-Task Learning of ASR and Auxiliary Tasks

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14
Systems And Methods For Short- and Long- Term Dialog Management Between A Robot Computing Device/Digital Companion And A User
Systems And Methods For Short- and Long- Term Dialog Management Between A Robot Computing Device/Digital Companion And A User
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Systems And Methods For Short- and Long- Term Dialog Management Between A Robot Computing Device/Digital Companion And A User

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15
METHOD AND SYSTEM FOR RETRIEVAL OF CONTEXTUAL INFORMATION RELATED TO UNMET MEDICAL NEED OF AN INDICATION
METHOD AND SYSTEM FOR RETRIEVAL OF CONTEXTUAL INFORMATION RELATED TO UNMET MEDICAL NEED OF AN INDICATION
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METHOD AND SYSTEM FOR RETRIEVAL OF CONTEXTUAL INFORMATION RELATED TO UNMET MEDICAL NEED OF AN INDICATION

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16
SYSTEMS AND METHODS FOR ENHANCING AUDIO COMMUNICATIONS
SYSTEMS AND METHODS FOR ENHANCING AUDIO COMMUNICATIONS
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SYSTEMS AND METHODS FOR ENHANCING AUDIO COMMUNICATIONS

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17
DYNAMIC TRANSLATION FOR A CONVERSATION
DYNAMIC TRANSLATION FOR A CONVERSATION
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DYNAMIC TRANSLATION FOR A CONVERSATION

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18
End-to-End Speech Recognition Adapted for Multi-Speaker Applications
End-to-End Speech Recognition Adapted for Multi-Speaker Applications
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End-to-End Speech Recognition Adapted for Multi-Speaker Applications

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19
CONTEXTUAL NATURAL LANGUAGE PROCESSING
CONTEXTUAL NATURAL LANGUAGE PROCESSING
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CONTEXTUAL NATURAL LANGUAGE PROCESSING

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20
MODIFYING SPOKEN COMMANDS
MODIFYING SPOKEN COMMANDS
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MODIFYING SPOKEN COMMANDS

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