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1
Speech Segmentation Optimization using Segmented Bilingual Speech Corpus for End-to-end Speech Translation ...
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2
Representing `how you say' with `what you say': English corpus of focused speech and text reflecting corresponding implications ...
Suzuki, Naoaki; Nakamura, Satoshi. - : arXiv, 2022
BASE
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3
Applying Syntax$\unicode{x2013}$Prosody Mapping Hypothesis and Prosodic Well-Formedness Constraints to Neural Sequence-to-Sequence Speech Synthesis ...
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4
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation ...
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5
Using Perturbed Length-aware Positional Encoding for Non-autoregressive Neural Machine Translation ...
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6
Simultaneous Neural Machine Translation with Constituent Label Prediction ...
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7
Transformer VQ-VAE for Unsupervised Unit Discovery and Speech Synthesis: ZeroSpeech 2020 Challenge ...
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8
Analysis of conversational listening skills toward agent-based social skills training [<Journal>]
Tanaka, Hiroki [Verfasser]; Iwasaka, Hidemi [Verfasser]; Negoro, Hideki [Verfasser].
DNB Subject Category Language
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9
Speech-to-speech Translation between Untranscribed Unknown Languages ...
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10
Towards Machine Speech-to-speech Translation
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11
Multi-Source Neural Machine Translation with Missing Data ...
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12
Local Monotonic Attention Mechanism for End-to-End Speech and Language Processing ...
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13
Listening while Speaking: Speech Chain by Deep Learning ...
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14
Incorporating Discrete Translation Lexicons into Neural Machine Translation ...
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15
Context Awareness and Priority Control for ITS based on Automatic Speech Recognition
In: International conference on ITS Telecommunications ; https://hal.inria.fr/hal-01225312 ; International conference on ITS Telecommunications, Dec 2015, Copenhagen, Denmark ; http://www.itst-conf.org/ (2015)
Abstract: International audience ; Bringing rapid assistance to motorists involved in a traffic accident is an important service to be provided by Intelligent Transportation System (ITS). Existing proposals to automatic accident detection are based on the vehicle’s perception point of view. This paper introduces situational awareness based on the “understanding” of conversational speech of drivers/passengers using an automatic speech recognition (ASR) system. Context-aware priority control and congestion control schemes are presented to ensure coexistence of ASR-triggered applications and cooperative awareness messages (CAM) in the IEEE 802.11p system. Finally, application risk analysis and performance evaluations of ASR and V2X communications are carried out.
Keyword: [INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; automatic speech recognition; congestion control; priority control; vehicular communicaions
URL: https://hal.inria.fr/hal-01225312/document
https://hal.inria.fr/hal-01225312/file/Asr-Comm-ITSSafety_CameraReady_v2.pdf
https://hal.inria.fr/hal-01225312
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16
Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015 ...
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17
A-STAR: Toward translating Asian spoken languages
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 27 (2013) 2, 509-527
OLC Linguistik
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18
Sub-band temporal modulation envelopes and their normalization for automatic speech recognition in reverberant environments
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 25 (2011) 3, 571-584
BLLDB
OLC Linguistik
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19
Statistical pronunciation modeling for non-native speech processing
Nakamura, Satoshi; Gruhn, Rainer; Minker, Wolfgang. - Berlin [u.a.] : Springer, 2011
BLLDB
UB Frankfurt Linguistik
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20
Temporal contrast normalization and edge-preserved smoothing of temporal modulation structures of speech for robust speech recognition
In: Speech communication. - Amsterdam [u.a.] : Elsevier 52 (2010) 1, 1-11
BLLDB
OLC Linguistik
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