Research graph
References from Speech State Analysis Based on Self-Supervised Representation Shift Under Complex Speech Interference. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1017/cbo9781139062367
10.1017/cbo9781139062367 · External reference
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10.1002/9781118706664
10.1002/9781118706664 · External reference
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Classification of cognitive load from speech using an i-vector framework
2014 · External reference
An investigation of speech features, plant system alarms, and operator-system interaction for the classification of operator cognitive workload during dynamic work
10.1177/0018720820961730 · 2021 · External reference
Toward a mechanistic psychology of dialogue
10.1017/s0140525x04000056 · 2004 · External reference
A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise
10.1016/j.neucom.2023.127015 · 2024 · External reference
Survey on speech emotion recognition: Features, classification schemes, and databases
10.1016/j.patcog.2010.09.020 · 2011 · External reference
Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends
10.1145/3129340 · 2018 · External reference
Survey of deep representation learning for speech emotion recognition
10.1109/taffc.2021.3114365 · 2023 · External reference
Emotion recognition in human-computer interaction
10.1109/79.911197 · 2001 · External reference
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
10.1016/j.specom.2011.01.011 · 2011 · External reference
Emotion2vec: Self-supervised pre-training for speech emotion representation
2024 · External reference
Wav2vec 2.0: A framework for self-supervised learning of speech representations
2020 · External reference
HuBERT: Self-supervised speech representation learning by masked prediction of hidden units
10.1109/taslp.2021.3122291 · 2021 · External reference
WavLM: Large-scale self-supervised pre-training for full stack speech processing
10.1109/jstsp.2022.3188113 · 2022 · External reference
10.1371/journal.pone.0196391
10.1371/journal.pone.0196391 · External reference
10.1002/9781118706664
10.1002/9781118706664 · ExternalCitation · doi-reference
A review on speech emotion recognition: A survey, recent advances, challenges, and the influence of noise
10.1016/j.neucom.2023.127015 · ExternalCitation · doi-reference
Survey on speech emotion recognition: Features, classification schemes, and databases
10.1016/j.patcog.2010.09.020 · ExternalCitation · doi-reference
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
10.1016/j.specom.2011.01.011 · ExternalCitation · doi-reference
10.1017/cbo9781139062367
10.1017/cbo9781139062367 · ExternalCitation · doi-reference
Toward a mechanistic psychology of dialogue
10.1017/s0140525x04000056 · ExternalCitation · doi-reference
Emotion recognition in human-computer interaction
10.1109/79.911197 · ExternalCitation · doi-reference
WavLM: Large-scale self-supervised pre-training for full stack speech processing
10.1109/jstsp.2022.3188113 · ExternalCitation · doi-reference
Survey of deep representation learning for speech emotion recognition
10.1109/taffc.2021.3114365 · ExternalCitation · doi-reference
HuBERT: Self-supervised speech representation learning by masked prediction of hidden units
10.1109/taslp.2021.3122291 · ExternalCitation · doi-reference
Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends
10.1145/3129340 · ExternalCitation · doi-reference
An investigation of speech features, plant system alarms, and operator-system interaction for the classification of operator cognitive workload during dynamic work
10.1177/0018720820961730 · ExternalCitation · doi-reference
10.1371/journal.pone.0196391
10.1371/journal.pone.0196391 · ExternalCitation · doi-reference
