The creation, transmission, and interpretation of audio signals on computer systems.
This 2005 paper by Laurent Millot, Gerard Pel and Mohammed Elliq presents a method for audio scene cartography in real or simulated stereo recordings. The process involves a perceptive 10-subbands…
Continue readingThe article introduces a novel audio-video recognition approach called the Audio-Video Transformer (AVT) that uses effective spatio-temporal representation for improved action recognition. The research reduces cross-modality complexity via an audio-video…
Continue readingThe article introduces ‘FunnyNet-W’, a model that relies on cross- and self-attention for visual, audio, and text data to predict funny moments in videos. Unlike most methods that rely on…
Continue readingThis paper discusses a technique to enhance the accuracy of Automatic Speech Recognition (ASR) systems. The proposed method uses embeddings derived from utterance audio to query a correction database, which…
Continue readingThe paper proposes two novel models: DI-AEC and FADI-AEC for Acoustic Echo Cancellation (AEC). These models pioneer a diffusion-based stochastic regeneration approach for AEC, with FADI-AEC designed to save computational…
Continue readingThe SonicVisionLM, a novel framework, is designed to generate sound effects for silent videos by leveraging vision language models (VLMs). Instead of creating sound from visual representations, which can be…
Continue readingThe article presents a new method for class-incremental learning of potentially overlapping sounds for multi-label audio classification tasks. The proposed system learns new sound classes independently of the old ones,…
Continue readingThe article discusses the challenge of audio-to-audio (A2A) style transfer, especially in the context of transferring emotional content. It proposes a solution in the form of the Zero-shot Emotion Style…
Continue readingThe paper introduces a Cross-Speaker Encoding (CSE) network to improve multi-talker speech recognition. Current methods, single-input multiple-output (SIMO) and single-input single-output (SISO) models, have limitations. The CSE network addresses these…
Continue readingThe paper discusses RaD-Net, a repairing and denoising network for speech signal improvement. The authors have improved their previous two-stage neural network model by replacing the repairing network with COM-Net…
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