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Found 13 papers, 3 papers with code
SyntAct: A Synthesized Database of Basic Emotions
Speech emotion recognition is in the focus of research since several decades and has many applications.
A Comparative Cross Language View On Acted Databases Portraying Basic Emotions Utilising Machine Learning
Since several decades emotional databases have been recorded by various laboratories.
Nkululeko: A Tool For Rapid Speaker Characteristics Detection
We present advancements with a software tool called Nkululeko, that lets users perform (semi-) supervised machine learning experiments in the speaker characteristics domain.
Testing Speech Emotion Recognition Machine Learning Models
Machine learning models for speech emotion recognition (SER) can be trained for different tasks and are usually evaluated on the basis of a few available datasets per task.
audb -- Sharing and Versioning of Audio and Annotation Data in Python
Driven by the need for larger and more diverse datasets to pre-train and fine-tune increasingly complex machine learning models, the number of datasets is rapidly growing.
Probing Speech Emotion Recognition Transformers for Linguistic Knowledge
Large, pre-trained neural networks consisting of self-attention layers (transformers) have recently achieved state-of-the-art results on several speech emotion recognition (SER) datasets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Dawn of the transformer era in speech emotion recognition: closing the valence gap
Recent advances in transformer-based architectures which are pre-trained in self-supervised manner have shown great promise in several machine learning tasks.
Multistage linguistic conditioning of convolutional layers for speech emotion recognition
In this contribution, we investigate the effectiveness of deep fusion of text and audio features for categorical and dimensional speech emotion recognition (SER).
The voice of COVID-19: Acoustic correlates of infection
Group differences in the front vowels /i:/ and /e:/ are additionally reflected in the variation of the fundamental frequency and the harmonics-to-noise ratio, group differences in back vowels /o:/ and /u:/ in statistics of the Mel-frequency cepstral coefficients and the spectral slope.
On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction
In this article, we study laughter found in child-robot interaction where it had not been prompted intentionally.
audEERING's approach to the One-Minute-Gradual Emotion Challenge
This paper describes audEERING's submissions as well as additional evaluations for the One-Minute-Gradual (OMG) emotion recognition challenge.
A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems
Transcription of broadcast news is an interesting and challenging application for large-vocabulary continuous speech recognition (LVCSR).
The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production
The baseline results clearly show the feasibility of automatic estimation of heart rate from the human voice, in particular from sustained vowels.
