Speech Emotion Recognition

54 papers with code • 6 benchmarks • 7 datasets

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Use these libraries to find Speech Emotion Recognition models and implementations

Most implemented papers

Continuous control with deep reinforcement learning

hill-a/stable-baselines 9 Sep 2015

We adapt the ideas underlying the success of Deep Q-Learning to the continuous action domain.

Multimodal Speech Emotion Recognition and Ambiguity Resolution

Demfier/multimodal-speech-emotion-recognition 12 Apr 2019

In this work, we adopt a feature-engineering based approach to tackle the task of speech emotion recognition.

Multimodal Speech Emotion Recognition Using Audio and Text

david-yoon/multimodal-speech-emotion 10 Oct 2018

Speech emotion recognition is a challenging task, and extensive reliance has been placed on models that use audio features in building well-performing classifiers.

Speech Emotion Recognition Using Multi-hop Attention Mechanism

warnikchow/coaudiotext 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019

As opposed to using knowledge from both the modalities separately, we propose a framework to exploit acoustic information in tandem with lexical data.

Deep Learning based Emotion Recognition System Using Speech Features and Transcriptions

MagnusXu/Speech-Emotion-Recognition-Capstone-Project 11 Jun 2019

This paper proposes a speech emotion recognition method based on speech features and speech transcriptions (text).

Seen and Unseen emotional style transfer for voice conversion with a new emotional speech dataset

HLTSingapore/Emotional-Speech-Data 28 Oct 2020

Emotional voice conversion aims to transform emotional prosody in speech while preserving the linguistic content and speaker identity.

AST: Audio Spectrogram Transformer

YuanGongND/ast 5 Apr 2021

In the past decade, convolutional neural networks (CNNs) have been widely adopted as the main building block for end-to-end audio classification models, which aim to learn a direct mapping from audio spectrograms to corresponding labels.

Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings

habla-liaa/ser-with-w2v2 8 Apr 2021

Emotion recognition datasets are relatively small, making the use of the more sophisticated deep learning approaches challenging.

SERAB: A multi-lingual benchmark for speech emotion recognition

neclow/serab 7 Oct 2021

To facilitate the process, here, we present the Speech Emotion Recognition Adaptation Benchmark (SERAB), a framework for evaluating the performance and generalization capacity of different approaches for utterance-level SER.

Transfer Learning for Improving Speech Emotion Classification Accuracy

raulsteleac/Speech_Emotion_Recognition 19 Jan 2018

The majority of existing speech emotion recognition research focuses on automatic emotion detection using training and testing data from same corpus collected under the same conditions.