Applied & Human-Centered · Computer Science & AI
Sound
The newest papers in Sound that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
553 papers, from 4 September 2026 to 5 November 2026: 553 arXiv preprints.
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Newest papers, page 20
Same Bit Width, Different Outcomes: Post-Training Quantization of Text-to-Speech Across Architectures
Post-training quantization (PTQ) reduces the cost of on-device text-to-speech (TTS), but published evaluations cover one system or method.Accent Analogy Guidance: More Speaker Similarity at Equal Accent in Cross-Lingual Voice Cloning
In cross-lingual zero-shot text-to-speech, the accent of the reference leaks into the target speech.Spot, Separate, and Enhance: Fully Generative Approach for Audio Mixing
We introduce Spot, Separate, and Enhance (SSE), the first multimodal, user-guided generative model for audio remixing and enhancement.Towards Deployable Underwater Vessel Classification
We propose a compact underwater acoustic classification framework combining multi-representation feature engineering, temporal statistical pooling, and compact convolutional architectures designed…WST-Graph: Topology-Preserving Wavelet Scattering Front-End for Speech Deepfake Detection
The acoustic front-end determines which forensic cues a speech deepfake detector can exploit.AV-GRPO: Modality-Anchored Decoupling Diffusion Reinforcement Learning for Joint Audio-Video Generation
Recent years have witnessed major progress in joint audio-video generation.Beyond Model Size: Redesigning LiSenNet for embedded speech enhancement
Deploying real-time speech enhancement on resource-constrained devices requires meeting strict latency, memory, and energy constraints.Does per-frame early exit pay? A compute-matched study of dynamic depth for on-device speech enhancement
Deep learning-based speech enhancement is increasingly deployed on-device in hearing aids, headsets, and earbuds.VietPrism: A large-scale Vietnamese speech and deepfake corpus with diverse dialects and code-switching
Vietnamese speech research is constrained by resources that isolate automatic speech recognition from speaker, dialect, code-switching, and deepfake analysis.A Native-Reference Phone-Class Geometry for Second-Language Pronunciation Analysis
Automatic speaking assessment systems can provide holistic proficiency scores, but often lack interpretable measures that characterize pronunciation quality.Do Audio Language Models Hear and Read Distinctive Features Alike?
Audio language models pass speech and text through a single decoder.To Trust or Not to Trust: Retrieval-Augmented Fact Checking in Speech
Online misinformation increasingly appears in spoken formats such as news clips, podcasts, interviews, political speeches, and social media videos, creating a need for fact-checking systems that can…Inference-Time Target Speaker Unlearning in LLM-Based Automatic Speech Recognition
We introduce target-speaker unlearning ASR (TSU-ASR) task in a fully end-to-end framework for multi-speaker ASR and diarization.Asymmetric Classifier-Free Guidance for Target-Speaker ASR
Target-speaker automatic speech recognition (TS-ASR) must identify and transcribe a desired speaker under varying overlap and noise conditions.AcoustiClaim: A Numeric Claim Benchmark with Instrument Ground Truth
Audio language models state numbers for acoustic quantities, and neither human opinion nor a judge model says whether such a number is true of the signal.Don't CLAP: Are Music-Text Models Bag-of-Words?
Text-to-music systems are assessed on audio quality and on how faithfully the music follows its prompt, and the CLAP score, the cosine similarity between a music-text model's audio and text…Nearest but Not Dearest: Shared Curator-Feedback Infrastructure for Content-Only Search and Recommendation
A deployed B2B music-discovery platform serves both query-driven search (text prompts, vibe tags) and seed-driven recommendation (seed-track and artist stations) over one licensed catalog, one…Adapting Personalized Speech Enhancement for Low-Latency Audio-Visual Target-Speaker Extraction
Online audio-visual target-speaker extraction aims to remove competing voices while preserving speech quality and bounding lookahead.PRIME-ANC: Path-Ratio-Informed Modeling for Efficient Neural Filter Synthesis in Active Noise Control
Changes in listener acoustics require active noise control (ANC) filters to be redesigned for new acoustic paths.Cross-Modal Knowledge Distillation for Acoustic Pedestrian Detection
Audio-only pedestrian detection is attractive for urban sensing but limited by weak acoustic cues.