A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
This academic article discusses the potential of using uncertainty measures derived from self-supervised learning (SSL) models like wav2vec for predicting audio quality in voice synthesis and conversion systems. Traditional methods…
Continue readingThe research paper introduces Audiobox, a model capable of generating different audio modalities. It is designed to enhance control and unify the generation of speech and sound. The model enables…
Continue readingThis research investigates the use of self-supervised learning (SSL) for bird sound classification, particularly in few-shot learning scenarios. The researchers demonstrate that SSL can acquire meaningful representations of bird sounds…
Continue readingThe research explores the use of models such as BERT and HuBERT in dimensional speech emotion recognition. Despite their large dimensionality, these models are frequently used for emotion recognition tasks,…
Continue readingThe paper introduces DATAR, a Deformable Audio Transformer for audio recognition. The authors argue that the quadratic complexity of self-attention computation in existing transformer models limits their application in low-resource…
Continue readingThe article discusses the use of normalizing flows in voice conversion (VC) tasks and introduces a new training paradigm called AutoEncoder Normalizing Flow (AE-Flow). Normalizing flows are unsupervised generative models…
Continue readingThe paper proposes a method to enhance the performance of a personalized voice activity detection (VAD) model in adverse conditions using self-supervised pretraining on a large unlabelled dataset. The model…
Continue readingThe paper presents ProLab, a unique approach that uses property-level label space to generate robust and interpretable segmentation models. Rather than solely relying on category-specific annotations, ProLab uses descriptive properties…
Continue readingThe paper proposes a language-based programming assistant for industrial robots. The assistant provides interactive dialogues about skills, example use-cases and expected robot behavior. The authors present three alternative model families,…
Continue readingThe article presents the Text2Analysis benchmark, a tool developed to fill the gap in advanced analysis like forecasting and chart generation in tabular data analysis. The existing research has primarily…
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