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cs.SD updates on arXiv.org

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation WhisperPipe: A Resource-Efficient Streaming Architecture for Real-Time Automatic Speech Recognition Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost Korean aegyo speech shows systematic F1 increase to signal childlike qualities All That Glitters Is Not Audio: Rethinking Text Priors and Audio Reliance in Audio-Language Evaluation RAS: a Reliability Oriented Metric for Automatic Speech Recognition Speech Enhancement Based on Drifting Models HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss Spectro-Temporal Modulation Representation Framework for Human-Imitated Speech Detection UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions Do LLM Decoders Listen Fairly? Benchmarking How Language Model Priors Shape Bias in Speech Recognition Materialistic RIR: Material Conditioned Realistic RIR Generation SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR ATIR: Towards Audio-Text Interleaved Contextual Retrieval Enhancing Speaker Verification with Whispered Speech via Post-Processing Environmental Sound Deepfake Detection Using Deep-Learning Framework Towards Streaming Target Speaker Extraction via Chunk-wise Interleaved Splicing of Autoregressive Language Model BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps Deep Supervised Contrastive Learning of Pitch Contours for Robust Pitch Accent Classification in Seoul Korean HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language Models UAF: A Unified Audio Front-end LLM for Full-Duplex Speech Interaction Voice of India: A Large-Scale Benchmark for Real-World Speech Recognition in India Tadabur: A Large-Scale Quran Audio Dataset
Methods for pitch analysis in contemporary popular music:...
[Submitted on 12 Feb 2025 (v1), last revised 22 Jul 2026 (this v · 2025-02-12 · via cs.SD updates on arXiv.org

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Abstract:This article uses phenomenological analysis to examine pitch-related elements in commercial popular music, focusing on Primaal, a successful electronic music brand whose works have been licensed by major international companies. Working in collaboration with the producers, we identify musical parameters related to pitch and document how their treatment differs radically from Western classical music conventions. Central to Primaal's aesthetic is the deliberate cultivation of \emph{pitch uncertainty}, achieved through multiple techniques: tone inharmonicity, quasi-harmonic tones designed to evoke multiple simultaneous pitches, strategic boosting of upper partials, and continuous frequency trajectories inspired by the Roland TR-808 bass drum. Rather than discrete notes, pitches are distributed around scale degrees (`poles'), with the distribution width serving as an expressive parameter. The music is organised modally rather than tonally, typically focusing on a few degrees with one functioning as a `final'. We show how these pitch-related parameters articulate both large-scale and small-scale musical structure. Signal analysis, supported by psychoacoustic weighting, serves as our transcription method, avoiding the biases inherent in score-based notation. The findings contribute to music analysis, music information retrieval, computational creativity, and psychoacoustics, suggesting that pitch in contemporary popular music often operates as a continuous, multidimensional phenomenon that resists reduction to discrete note representations.

Submission history

From: Emmanuel Deruty [view email]
[v1] Wed, 12 Feb 2025 05:25:11 UTC (3,064 KB)
[v2] Wed, 22 Jul 2026 18:43:15 UTC (16,318 KB)