Search Results for author:
Found 5 papers, 4 papers with code
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.
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)
+2
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.
Applying Cooperative Machine Learning to Speed Up the Annotation of Social Signals in Large Multi-modal Corpora
Scientific disciplines, such as Behavioural Psychology, Anthropology and recently Social Signal Processing are concerned with the systematic exploration of human behaviour.
