The creation, transmission, and interpretation of audio signals on computer systems.
The article discusses a framework for training singer identity encoders that can extract representations suitable for singing-related tasks. Different self-supervised learning techniques are explored on a large collection of isolated…
Continue readingThis article discusses the development of a noise-robust zero-shot text-to-speech (TTS) method. The method, based on speaker embeddings extracted from reference speech using self-supervised learning (SSL) speech representations, can reproduce…
Continue readingThe article presents ‘FreeTalker’, a novel framework that generates both spontaneous and non-spontaneous speaker motions, thus improving the naturalness and controllability of talking avatars. Unlike previous models, which only considered…
Continue readingThe paper discusses the challenges of direction of arrival (DoA) estimation in moving humanoid robots using microphone arrays. Traditional methods assume a fixed array, which doesn’t work well for moving…
Continue readingThe article discusses the effectiveness of Parameter-Efficient Fine-Tuning (PEFT) in speech processing, with a particular focus on the optimal placement of PEFT methods, their merging strategies, and the use of…
Continue readingThe paper proposes an improved model of Independent Low-Rank Matrix Analysis (ILRMA) for dealing with Blind Source Separation (BSS) of audio and speech signals. The new model takes into account…
Continue readingThis research paper focuses on creating a more efficient end-to-end speech recognition model. The researchers propose a dynamic layer-skipping method that uses the CTC blank output from intermediate layers to…
Continue readingThis research introduces CLAPP (Contrastive Language-Audio Pre-training in Passive Underwater Vessel Classification), a novel model for audio classification in passive underwater vessel scenarios. The model uses a neural network trained…
Continue readingThis study focuses on Parameter-Efficient Fine-Tuning (PEFT) in speech processing, exploring optimal placement and merging strategies, as well as the use of ensemble learning. The results reveal that Differentiable Architecture…
Continue readingThe paper details the initial stages of creating a broadband physical model for microphones. It explores how classical directivity patterns (omnidirectional, bidirectional, and cardioids family) can be found within the…
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