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Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR
  Models

Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models

21 November 2019
Zhiyun Lu
Liangliang Cao
Yu Zhang
Chung-Cheng Chiu
James Fan
ArXivPDFHTML

Papers citing "Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models"

10 / 10 papers shown
Title
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect
  Representations
Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations
Debaditya Shome
Ali Etemad
40
5
0
09 Sep 2023
e-Inu: Simulating A Quadruped Robot With Emotional Sentience
e-Inu: Simulating A Quadruped Robot With Emotional Sentience
Abhirup Chakravarty
Jatin Karthik Tripathy
S. Chakkaravarthy
Aswani Kumar Cherukuri
S. Anitha
Firuz Kamalov
Annapurna Jonnalagadda
14
0
0
03 Jan 2023
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained
  ASR Embeddings for Speech Emotion Recognition
CTA-RNN: Channel and Temporal-wise Attention RNN Leveraging Pre-trained ASR Embeddings for Speech Emotion Recognition
Chengxin Chen
Pengyuan Zhang
AI4TS
26
10
0
31 Mar 2022
Speech Emotion Recognition using Self-Supervised Features
Speech Emotion Recognition using Self-Supervised Features
E. Morais
R. Hoory
Weizhong Zhu
Itai Gat
Matheus Damasceno
Hagai Aronowitz
SSL
MDE
20
113
0
07 Feb 2022
Beyond Isolated Utterances: Conversational Emotion Recognition
Beyond Isolated Utterances: Conversational Emotion Recognition
R. Pappagari
Piotr Żelasko
Jesús Villalba
Laureano Moro-Velazquez
Najim Dehak
27
4
0
13 Sep 2021
The Role of Phonetic Units in Speech Emotion Recognition
The Role of Phonetic Units in Speech Emotion Recognition
Jiahong Yuan
Xingyu Cai
Renjie Zheng
Liang Huang
Kenneth Church
15
15
0
02 Aug 2021
Leveraging Pre-trained Language Model for Speech Sentiment Analysis
Leveraging Pre-trained Language Model for Speech Sentiment Analysis
Suwon Shon
Pablo Brusco
Jing Pan
Kyu Jeong Han
Shinji Watanabe
17
16
0
11 Jun 2021
Recognizing More Emotions with Less Data Using Self-supervised Transfer
  Learning
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
Jonathan Boigne
Biman Liyanage
Ted Östrem
24
20
0
11 Nov 2020
Emotion recognition by fusing time synchronous and time asynchronous
  representations
Emotion recognition by fusing time synchronous and time asynchronous representations
Wen Wu
Chao Zhang
P. Woodland
30
67
0
27 Oct 2020
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve
  Multimodal Speech Emotion Recognition
Jointly Fine-Tuning "BERT-like" Self Supervised Models to Improve Multimodal Speech Emotion Recognition
Shamane Siriwardhana
Andrew Reis
Rivindu Weerasekera
Suranga Nanayakkara
21
112
0
15 Aug 2020
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