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Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation WhisperPipe: A Resource-Efficient Streaming Architecture for Real-Time Automatic Speech Recognition Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost Korean aegyo speech shows systematic F1 increase to signal childlike qualities All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation RAS: a Reliability Oriented Metric for Automatic Speech Recognition Speech Enhancement Based on Drifting Models HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss Spectro-Temporal Modulation Representation Framework for Human-Imitated Speech Detection UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition Materialistic RIR: Material Conditioned Realistic RIR Generation SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR ATIR: Towards Audio-Text Interleaved Contextual Retrieval Enhancing Speaker Verification with Whispered Speech via Post-Processing Environmental Sound Deepfake Detection Using Deep-Learning Framework Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction Voice of India: A Large-Scale Benchmark for Real-World Speech Recognition in India Tadabur: A Large-Scale Quran Audio Dataset Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features Video-Robin: Autoregressive Diffusion Planning for Intent-Grounded Video-to-Music Generation Virtual boundary integral neural network for three-dimensional exterior acoustic problems Audio2Tool: Speak, Call, Act -- A Dataset for Benchmarking Speech Tool Use AST: Adaptive, Seamless, and Training-Free Precise Speech Editing Breakout-picker: Reducing false positives in deep learning-based borehole breakout characterization from acoustic image logs Hierarchical Codec Diffusion for Video-to-Speech Generation ControlFoley: Unified and Controllable Video-to-Audio Generation with Cross-Modal Conflict Handling From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench 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Quantum Architecture for Joint Melody-Harmony Generation ActorMind: Emulating Human Actor Reasoning for Speech Role-Playing Efficient Training for Cross-lingual Speech Language Models Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music MeloTune: On-Device Arousal Learning and Peer-to-Peer Mood Coupling for Proactive Music Curation BlasBench: An Open Benchmark for Irish Speech Recognition Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing Knowing What to Stress: A Discourse-Conditioned Text-to-Speech Benchmark VidAudio-Bench: Benchmarking V2A and VT2A Generation across Four Audio Categories Cross-Cultural Bias in Mel-Scale Representations: Evidence and Alternatives from Speech and Music Beyond Monologue: Interactive Talking-Listening Avatar Generation with Conversational Audio Context-Aware Kernels ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models Interactive ASR: Towards Human-Like Interaction and Semantic Coherence Evaluation for Agentic Speech Recognition Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence Disentangled Dual-Branch Graph Learning for Conversational Emotion Recognition Real-Time Voicemail Detection in Telephony Audio Using Temporal Speech Activity Features Woosh: A Sound Effects Foundation Model KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness From Black Box to Glass Box: Cross-Model ASR Disagreement to Prioto Review in Ambient AI Scribe Documentation Diagnostic-Driven Layer-Wise Compensation for Post-Training Quantization of Encoder-Decoder ASR Models Style Amnesia: Investigating Speaking Style Degradation and Mitigation in Multi-Turn Spoken Language Models Real-Time Streamable Generative Speech Restoration with Flow Matching Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs Protecting Bystander Privacy via Selective Hearing in Audio LLMs Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference Musical Score Understanding Benchmark: Evaluating Large Language Models' Comprehension of Complete Musical Scores 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 Data-efficient Targeted Token-level Preference Optimization for LLM-based Text-to-Speech When Silence Matters: The Impact of Irrelevant Audio on Text Reasoning in Large Audio-Language Models MARS: Sound Generation via Multi-Channel Autoregression on Spectrograms Zero-Effort Image-to-Music Generation: An Interpretable RAG-based VLM Approach StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs CoMelSinger: Discrete Token-Based Zero-Shot Singing Synthesis With Structured Melody Control and Guidance RFM-Editing: Rectified Flow Matching for Text-guided Audio Editing CodecSep: Prompt-Driven Universal Sound Separation on Neural Audio Codec Latents 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 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 Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification Speculative End-Turn Detector for Efficient Speech Chatbot Assistant AudioX: A Unified Framework for Anything-to-Audio Generation Speech-FT: Merging Pre-trained And Fine-Tuned Speech Representation Models For Cross-Task Generalization 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
LIWhiz: A Non-Intrusive Lyric Intelligibility Prediction System for the Cadenza Challenge
Ram C. M. C. Shekar, Iván López-Espejo · 2025-12-12 · via cs.SD updates on arXiv.org

We present LIWhiz, a non-intrusive lyric intelligibility prediction system submitted to the ICASSP 2026 Cadenza Challenge. LIWhiz leverages Whisper for robust feature extraction and a trainable back-end for score prediction. Tested on the Cadenza Lyric Intelligibility Prediction (CLIP) evaluation set, LIWhiz achieves a root mean square error (RMSE) of 27.07%, a 22.4% relative RMSE reduction over the STOI-based baseline, yielding a substantial improvement in normalized cross-correlation.

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