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 26
TokenMapper: A Step Toward Interoperable Speech Token Translation
Neural audio codecs discretize speech into token sequences, but the resulting token spaces differ in vocabulary and codebook structure, preventing direct communication across models.Direct Preference Density Alignment for Conversational Audio Equalization
Large Language Model alignment typically relies on learned proxy reward models, which significantly increase the memory footprint during training and are notoriously prone to instability and reward…What Did the MLLM Hear? Token-Level Spectro-Temporal Grounding for Audio MLLM Explainability
Audio-based Multimodal Large Language Models (MLLMs) can generate detailed natural-language descriptions of complex acoustic scenes, yet it remains unclear which parts of the input audio support…Kraken: LLM-based Speech-to-Speech Translation via Low-bitrate VQ and Dual-path Source Conditioning
Speech-to-speech translation (S2ST) has advanced significantly with speech LLMs, offering the potential for joint optimization and preserving non-linguistic information.Continue, Adapt, or Yield: In-Turn Adaptation to Overlapping Speech in Full-Duplex Agents
Full-duplex evaluation often emphasizes whether an agent keeps speaking or stops.CMA-OT: Hierarchical Expert Supervision for Dance-to-Music Generation
Dance-to-music (D2M) generation aims to synthesize music that is rhythmically and stylistically aligned with dance videos.CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages
We introduce CVSS-X, a large-scale synthetic speech-to-speech translation corpus that extends CVSS by reversing the translation direction.Building a Production Greek-English Speech Recognizer
We report a multi-month engineering program to build Sophea, a production bilingual Greek-English automatic speech recognition system.Predictive audio representations for early detection and tracking of hidden dynamic objects
Predicting potential dangers is core to safety.Less can be More: What Aspects of Speech Drive End-of-Turn Detection
In conversational AI, detecting when a speaker has finished talking is crucial for natural turn taking.Xiaomi-CocktailASR-1 Technical Report
Recently, large language model (LLM) based ASR models have achieved significant progress, yet they generally lack support for multi-speaker scenarios, where the cocktail party problem remains a…Automatic Lyric Transcription for Greek Songs: Scaling and Task Composition Effects in Whisper Adaptation
Automatic Lyric Transcription (ALT) remains substantially more challenging than speech recognition due to melodic variability, rhythmic irregularity, and accompaniment interference.SEAR: Segment-Evidence-Aware Routing for Weak-to-Strong Multilingual Speech MCQ
This paper describes our system for Task~2 of the second Multilingual Conversational Speech Language Model (MLC-SLM) Challenge.X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation
Reducing audio-encoder depth lowers the inference cost of speech large language models, but removing complete blocks perturbs the embeddings consumed by the decoder and can cause deletion and…Investigating catastrophic forgetting in sound event classification
This work investigates a number of approaches to prevent catastrophic forgetting in class incremental learning scenarios for sound event classification tasks.Complex-Text Robustness Evaluation and Failure Diagnosis for Low-Resource Multilingual Text-to-Speech
Low-resource multilingual text-to-speech (TTS) systems have expanded language coverage, but their robustness under complex text inputs remains insufficiently diagnosed.ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding
Neural audio codecs are a fundamental component of modern speech generation systems.Continuous-Time Acoustic Modelling with Neural Controlled Differential Equations
Text-to-speech (TTS) models commonly address text--speech alignment by expanding phone-level encoder states to frame-level decoder inputs using predicted durations.Neural Multichannel Distant Speaker Diarization with Heavy-tailed Source Separation Model
Distant speaker diarization remains challenging due to difficult acoustic environments, varying numbers of speakers and overlapping speech.DriftSE: Speech Enhancement with Generative Drifting
We propose DriftSE, a novel one-step generative framework for speech enhancement formulated as a latent distribution equilibrium problem.