Engineering & Signals · Interdisciplinary & Society
Audio & Speech Processing
The newest papers in Audio & Speech Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
334 papers, from 8 September 2026 to 4 November 2026: 334 arXiv preprints.
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Newest papers, page 2
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.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…The Importance of Speech Genre for End-of-Turn Detector Training
End-of-turn (EoT) detection has been studied mostly through features, models, and modalities, while the speech genre of the training data has drawn far less attention.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.Apriel Voice 27B Preview: An Open Model for Speech, Reasoning, and Tool Use
A capable voice assistant must do more than recognize words; it must understand requests, reason over context, sustain conversations, and act through tools.TAPE: Learning General Audio Effect Representations
Musicians and mixing engineers often can decipher the signal processing chain they hear on a reference recording, then adapt it to new material.Incongruence-Aware Evaluation of Multimodal Speech Emotion Recognition in Audio Large Language Models
Voice-interactive large language models process both what a speaker says and how they say it, yet the two channels do not always agree.A Tutorial on Generative Models for Music Audio
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and systems that play alongside a musician in real time.Streaming Speech Recognition on a Microcontroller: a 65.7M-Parameter Transducer in 2 and 4 Bits on the ESP32-P4
We run Kroko, a 65.7M-parameter streaming Zipformer2 transducer for English, on the ESP32-P4, a microcontroller with two 400 MHz RISC-V cores, a 128-bit SIMD extension (PIE) and 32 MB of PSRAM, but…Efficient Agentic Audio-Visual Question Answering through Toolset Pruning and Modality Consolidation
Fine-grained audio-visual question answering (AVQA) requires models to resolve complex cross-modal correspondences and temporally grounding from sparsely distributed evidence.How Architecture, Typology, and Adaptation Strategies Shape ASR for Low-Resource African Languages: A Controlled Empirical Study
Despite recent advancements in ASR, identifying effective architectures, fine-tuning approaches, and data adaptation strategies for low-resource languages remains challenging.From Voiceprints to User Entities: Online Speaker-Memory Construction for Multi-User Spoken Agents
Personalized spoken agents must identify speakers before accessing user-specific memory, yet memory benchmarks typically assume correctly attributed histories.SMEBENCH: Benchmarking Neural Music Editing with Synthetized MIDI Edits
Neural music editing requires a system to perform a requested change while preserving the musical content that should remain unchanged.Developing a Speech Language Model for Basque
Although the recent development of LLMs has paved the way for multi-modal interaction, minority languages face difficulties keeping pace.Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis
The short-time Fourier transform (STFT) characterizes the local frequency content of time-varying signals by evaluating the discrete Fourier transform over a sliding analysis window.