Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR
Focuses on Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR.
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Audio models, speech recognition, music, and sound generation. This page collects the latest briefings that match the topic so readers can follow one area without scanning the full feed.
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Focuses on Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR.
Focuses on OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning.
Focuses on Steerspeech: Activation Steering For Emotion Control In Generated Speech.
Focuses on MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent.
Focuses on Real-Time Joint Audio-Video Generation by Parallel Adapter Composition.
Focuses on CrossEdit: Cross-Modal Training Enables Rich Audio-Visual Editing.
Focuses on Benchmarking Adult Addressee Classification Across Child- and Adult-Directed Speech Datasets.
Focuses on Steerspeech: Activation Steering For Emotion Control In Generated Speech.
Focuses on DuRe-ST: Dual-Relation Spectro-Temporal Modeling for Speech Deepfake Detection.
Focuses on Source-Directed Trajectory Perturbation at First-Order Cost for Domain Generalization in Speech Deepfake Detection.
Focuses on AdSpark: A Large-Scale Dataset and Benchmark for Product-Centric Advertisement Video Generation.
Focuses on A Study on Improving Multi-class Audio Source Separation Via Decoupled CLAP Query Optimization and an Automated Data Engine.
Focuses on LIFT-SE: Linguistic Inference Followed by Flow Transformation for Generative Speech Enhancement.
Focuses on Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR.
Focuses on CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound.
Focuses on Training-Free Instruction TTS Gender Bias Calibration Using Model-Adaptive Steering.
Focuses on Direction-preserving Spatial Audio Signal Enhancement in The Spherical Harmonic Domain.
Focuses on Tracing Inputs, Verifying Outputs: Validating Attribution in Music Generation.
Focuses on Mitigating Accent-Language Confusion in Self-Supervised Speech Representations for Language Identification.
Focuses on BanglaRhet: Benchmarking Classical and Transformer Models for Rhetorical and Persuasion Detection in Bangla Political Speech.
Focuses on Beyond Token Revision: Investigating Mask-and-Replace Diffusion for Zero-Shot Text-to-Speech.
Focuses on TiTok: Audio-Visual LLM for Multi-Segment Temporal Grounding.
Focuses on VM-ARRAYDPS: Virtual Microphone Augmented Diffusion Posterior Sampling for Unsupervised Blind Speech Separation.
Focuses on Dialect-Robust Speech Language Models with Synthetic Pseudo-Dialect Augmentation.
Focuses on Lyapunov-Inspired LyRIC Activation and GLARE Attention in Chaos-Guided State Space Modeling for EMG-To-Speech (ETS) Synthesis.
Focuses on BanglaBox: A Phonetically-Balanced Corpus and Data-Efficient Foundation-Model Adaptation for Bangla Text-to-Speech with Zero-Shot Voice Cloning.
Focuses on SwinDS-BWE: A Parameter-Efficient Swin-1D Lattice Generator with Decision-Science Discriminators for Speech Bandwidth Extension.
Focuses on OmniSeek: Native Tool Integration for Multi-turn Audio-Visual Reasoning.
Focuses on Shared-State Local Translations for Training-Free Voice Conversion.
Focuses on Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text.
Focuses on GLARE: Generating Listening Heads with Appropriate Reactions.
Focuses on LAST: Looped Audio Spectrogram Transformer.
Focuses on From Isolated Feature to Orbits: Discovering Music Concepts via Multi-SAE Alignment.
Focuses on AVSD-Scenes: A Dataset for Audio-Visual Description of Urban Scenes.
Focuses on Beyond Decodability: Do Acoustic Factors Drive Predictions in Speech-Based Alzheimer's Assessment?.
Focuses on Teaching LLMs to Hear Who Spoke What: Metadata-Supervised Pretraining for Encoder-Free Speech-LLMs.