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 19
Symbiotic Architecture for Post-Hoc Audio Extension of Frozen Language Models
This paper proposes an architecture for equipping large language models (LLMs) with audio-understanding capabilities without fine-tuning their weights.Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings
Perceived speech decoding based on non-invasive brain-computer interface (BCI) signals has been extensively studied in recent years.I-Parakeet: Integer-Only Conformer ASR on Mobile NPU
In this paper, we propose I-Parakeet, an integer-only implementation of NVIDIA's Parakeet-CTC (0.6B parameters) that runs on a smartphone NPU without any floating-point operator or CPU fallback.Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring
Accurate and efficient pronunciation transcription is essential for preparing text-to-speech training data at scale.A Comprehensive Study of Content Representations for Speech Synthesis
Speech content representations are central to voice conversion, speech-to-speech translation, and multimodal language models, yet they are rarely compared under a common generative framework that…Synth-JEPA: Joint Embedding Prediction for Renderer-Free Synthesizer Parameter Search
Sound matching can be formulated as optimizing synthesizer parameters against an audio-domain objective.BreathGRU: A Novel Semi-Supervised Bidirectional Gated Recurrent Unit Framework for Speech and Breath Segmentation for Respiratory Audio
Speech-breath segmentation is a fundamental preprocessing step in respiratory audio analysis, enabling applications such as respiratory acoustic biomarker extraction, lung function prediction and…BAT-CLIP: Trimodal Alignment of Brain, Audio and Text
Decoding and interpreting naturalistic speech from the brain increasingly relies on alignment to pretrained speech and language representation spaces.Who Says What: Symbolic Trimodal Binding Mechanisms in Audio-Visual LLMs
Current Audio-Visual LLMs (AVLLMs) struggle with reasoning over videos featuring multi-speaker dialogues.Acoustic-to-Text KV Compression for Full-Duplex Speech Models
Full-duplex speech language models continuously accumulate acoustic key-value (KV) states, making long-running interactions memory-intensive.Why Alzheimer's Speech Screening Fails to Generalize: Bridging the Deployment Gap via Cross-Corpus Evidence Anchoring
Speech-based screening is a promising, non-invasive approach for detecting Alzheimer's disease and related cognitive risks.AFA-Net: A Differential Attention Approach for Auditory Attention Detection
Auditory Attention Detection (AAD) utilizes electroencephalographic (EEG) signals to identify a target speaker in a multi-speaker environment.Video-to-Music Generation for Gameplay Videos
Video-to-music models have advanced considerably in the last few years, particularly in film and music video applications.NVAlign: Direct-Gradient Optimization for Non-Verbal Control in Continuous Autoregressive Flow Matching Text-to-Speech
While modern text-to-speech (TTS) systems generate highly natural speech and support inline non-verbal vocalization (NVV) tags, accurate control over these events remains challenging.MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus
Humans rely on gaze, head movements, and visual cues to attend to speakers in noisy environments, yet auditory attention decoding (AAD) has been studied primarily using electroencephalography (EEG).Improving Audiovisual Speech Recognition through Synthetic Visual Data Augmentation
Audiovisual Speech Recognition (AVSR) is a multimodal approach to speech recognition that incorporates visual information from lip movements to enhance model performance.VoiceNet: Fine-Grained Voice Understanding Beyond Emotion at Scale
Expressive speech synthesis has outpaced expressive speech perception: systems now render fine-grained vocal performances that no public benchmark can score.Tracing Decoder Artifacts for Compact Synthetic Speech Screening
Recent advances in speech synthesis and voice cloning have increased the need for reliable synthetic-speech detection, yet high-accuracy detectors increasingly rely on large pretrained models that…Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring
Modern bioacoustic foundation models like Perch and BirdNET can identify species with high discriminative accuracy, yet their confidence scores are often uncalibrated and difficult to interpret as…Broadening Uncertainty Estimation for Audio Question Answering Across Methods, Formats, and Inputs
Audio-language models can produce confident answers unsupported by the audio, motivating uncertainty estimates that identify unreliable responses.