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Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation MIST: Multimodal Interactive Speech-based Tool-calling Conversational Assistants for Smart Homes LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation Weight-Decay Turns Transformer Loss Landscapes Villani: Functional-Analytic Foundations for Optimization and Generalization PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization WavCube: Unifying Speech Representation for Understanding and Generation via Semantic-Acoustic Joint Modeling Predictive-Generative Drift Decomposition for Speech Enhancement and Separation Minimizing Modality Gap from the Input Side: Your Speech LLM Can Be a Prosody-Aware Text LLM X-Voice: Enabling Everyone to Speak 30 Languages via Zero-Shot Cross-Lingual Voice Cloning JASTIN: Aligning LLMs for Zero-Shot Audio and Speech Evaluation via Natural Language Instructions Phoneme-Level Deepfake Detection Across Emotional Conditions Using Self-Supervised Embeddings When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition Dimensionality-Aware Anomaly Detection in Learned Representations of Self-Supervised Speech Models Mitigating Multimodal LLMs Hallucinations via Relevance Propagation at Inference Time Virtual Speech Therapist: A Clinician-in-the-Loop AI Speech Therapy Agent for Personalized and Supervised Therapy LASE: Language-Adversarial Speaker Encoding for Indic Cross-Script Identity Preservation Towards Improving Speaker Distance Estimation through Generative Impulse Response Augmentation Beyond Decodability: Reconstructing Language Model Representations with an Encoding Probe MMAudioReverbs: Video-Guided Acoustic Modeling for Dereverberation and Room Impulse Response Estimation Alethia: A Foundational Encoder for Voice Deepfakes From Birdsong to Rumbles: Classifying Elephant Calls with Out-of-Species Embeddings Beyond the 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Music ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models Utterance-Level Methods for Identifying Reliable ASR-Output for Child Speech Enhancing ASR Performance in the Medical Domain for Dravidian Languages PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models HARNESS: Lightweight Distilled Arabic Speech Foundation Models KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech Interpreting Speaker Characteristics in the Dimensions of Self-Supervised Speech Features From Black Box to Glass Box: Cross-Model ASR Disagreement to Prioto Review in Ambient AI Scribe Documentation WST-X Series: Wavelet Scattering Transform for Interpretable Speech Deepfake Detection Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling AQUA-Bench: Beyond Finding Answers to Knowing When There Are None in Audio Question Answering Diagnostic-Driven Layer-Wise Compensation for Post-Training Quantization of Encoder-Decoder ASR Models BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models Sound Source Localization for Spatial Mapping of Surgical Actions in Dynamic Scenes Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction Efficient Test-Time Adaptation through Latent 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 Listening Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey FMSD-TTS: Few-shot Multi-Speaker Multi-Dialect Text-to-Speech Synthesis for Ü-Tsang, Amdo and Kham Speech Dataset Generation Not that Groove: Zero-Shot Symbolic Music Editing Speculative End-Turn Detector for Efficient Speech Chatbot Assistant AudioX: A Unified Framework for Anything-to-Audio Generation S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models Throat and acoustic paired speech dataset for deep learning-based speech enhancement Dementia classification from spontaneous speech using wrapper-based feature selection DASB - Discrete Audio and Speech Benchmark Basic syntax from speech: Spontaneous concatenation in unsupervised deep neural networks
Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music
Han Yin, Mou Wang, Jisheng Bai, Dongyuan Shi, Woon-Seng Gan, Jia · 2024-01-11 · via eess.AS updates on arXiv.org

This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge. Experimental results show that the proposed system can achieve better performance than official baselines.

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