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 2
MEX: The Musical Expectation Benchmark Suite
We propose the Musical Expectation (MEX) benchmark suite for perceptually validating computational models of musical expectation, i.e., models that estimate music information dynamics (MID) measures…HyVox: Rethinking Low-Power Voice Intelligence towards Neuromorphic-von Neumann Edge Computing
We present HyVox, a hybrid neuromorphic--von Neumann system for low-energy open-set speaker identification under tight energy budgets.Spatial DJ: Spatial Audio Control for Arbitrary Loudspeaker Layouts
Object-based spatial audio promises render-anywhere playback, yet deploying it in a new venue still requires two tasks that are rarely addressed together: acquiring the physical loudspeaker geometry…Learning Timeline-Preserving Speech-to-Speech Translation
Speech-to-speech translation (S2ST) increasingly preserves what is said and how it sounds, but not necessarily when speech and silence occur.ResMamba: A Dual-Path Convolution-Mamba Model for Music Genre Classification
Music genre classification remains a fundamental yet challenging task in music information retrieval, requiring models that capture local time--frequency patterns and long-range temporal dependencies.Microphone Geometry Aware Regional Target Speaker Extraction
Regional target speaker extraction (RSE) aims to extract speech originating from a specified angular region, relaxing the requirement for precise target speaker location when performing location…How Close to the Theme? Similarity-Label Conditioning for Game Music Generation
Composers develop music from an original idea, controlling how similar each new section is to it, from near repetition to new material.GSLM2: Multi-Stream Speech Representation Learning and Generative Spoken Language Modeling
Generative spoken language models (SLMs) offer a route to learning linguistic structure purely from speech, yet they lag far behind text-based models in both capability and data scaling efficiency.From Transcription to Reformulation: Defining and Benchmarking Grounded Generative Speech Recognition
Speech language models have expanded automatic speech recognition (ASR) from transcription to general speech-to-text generation.Biologically Inspired Predictive Gating Signed-Dyadic Coding for Mandarin Keyword Spotting
In continuous spiking keyword spotting, temporally correlated acoustic frames can repeatedly trigger memory access and neural computation at a dense input interface, even when hidden activity is…Hierarchical Dual-Graph Retrieval for Long-form Audio Reasoning
Large audio language models (LALMs) struggle with long-form audio reasoning, as processing entire recordings often limits to capture query-relevant content distributed across distant segments while…Parameter-Efficient Fine-Tuning of Transformer Encoders for Audio-Image-Symbolic Music Retrieval
Score-based multimodal music retrieval requires representations that are both discriminative within each modality and compatible across audio recordings, sheet music images, and symbolic scores.A richness-sensitive Acoustic Biodiversity Index from species-level detections: classifier benchmarking, false-positive control and validation against standard soundscape indices in an African savanna and an urban zoo
Acoustic indices are widely used as rapid proxies for biodiversity, but they summarise the distribution of sound energy rather than the species producing it and often track richness poorly.One Waveform, Two Stories: Benchmarking Speech-Acoustic Conflict in Audio-Language Models
Audio-language models (ALMs) are evaluated on their understanding of both speech and environmental sounds.C3: Speech-Guided KV Retrieval for Long-Context SpeechLLM Inference
Speech language models encode audio at a much higher rate than text, causing the KV cache to dominate the memory, bandwidth, and decoding cost of long-form generation.Reading-Level Verification of Kanji Words in Japanese Financial Speech Synthesis
Few-shot voice cloning makes it cheap to produce daily Japanese financial commentary with several synthetic speakers, but kanji words with more than one reading, such as the word for "market" (shijo…Practical Assessment of Agentic Systems in Acoustics
In engineering, applications of artificial intelligence have so far been largely limited to surrogate models and optimization tasks.Bridging Neural Representations and Symbolic Semantics in Audio Classification
Deep audio classifiers can achieve strong predictive performance, but their hidden representations remain difficult to interpret.Discovering Interpretable Acoustic Features in Autoregressive Voice-Cloning TTS Models
Voice-cloning TTS models synthesize an unseen speaker's voice from brief speech prompts, but it remains unclear which acoustic properties they represent and use.SonoWorld4D: From One Video to a 4D Audio-Visual Scene via Diffusion Synchronization
Recent progress in visual scene generation has extended beyond static 3D scenes toward the more challenging problem of generating dynamic 4D scenes from minimal input.