Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions - 惯性聚合

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Subspace Coefficients Search MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation VAPO: End-to-end Slide-Enhanced Speech Recognition with Omni-modal Large Language Models TokenChain: A Discrete Speech Chain via Semantic Token Modeling BaldWhisper: Faster Whisper with Head Shearing and Layer Merging Game-Time: Evaluating Temporal Dynamics in Spoken Language Models Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach Direct Simultaneous Translation Activation for Large Audio-Language Models CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion Recognition DreamAudio: Customized Text-to-Audio Generation with Diffusion Models Computational Narrative Understanding for Expressive Text-to-Speech Gaussian Process Regression of Steering Vectors With Physics-Aware Deep Composite Kernels for Augmented 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Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions

Roman Bedyakin, Nikolay Mikhaylovskiy · 2021-04-25 · via eess.AS updates on arXiv.org

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