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Automatic Singing Assessment and Singing Information Processing have evolved over the past three decades to support singing pedagogy, performance analysis, and vocal training. While the first approach objectively evaluates a singer's…

音频与语音处理 · 电气工程与系统科学 2026-01-21 Arthur N. dos Santos , Bruno S. Masiero

This paper addresses the task of score following in sheet music given as unprocessed images. While existing work either relies on OMR software to obtain a computer-readable score representation, or crucially relies on prepared sheet image…

机器学习 · 计算机科学 2020-07-22 Florian Henkel , Rainer Kelz , Gerhard Widmer

In this paper, we focus on the problem of dynamically analysing concurrent software against high-level temporal specifications. Existing techniques for runtime monitoring against such specifications are primarily designed for sequential…

编程语言 · 计算机科学 2026-01-09 Zhendong Ang , Umang Mathur

With the proliferation of video platforms on the internet, recording musical performances by mobile devices has become commonplace. However, these recordings often suffer from degradation such as noise and reverberation, which negatively…

声音 · 计算机科学 2023-08-25 Yunkee Chae , Junghyun Koo , Sungho Lee , Kyogu Lee

MIDI performances are generally expedient in performance research and music information retrieval, and even more so if they can be connected to a score. This connection is usually established by means of alignment, linking either notes or…

声音 · 计算机科学 2025-05-09 Silvan Peter , Patricia Hu , Gerhard Widmer

Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security.…

计算机视觉与模式识别 · 计算机科学 2018-02-15 Mustansar Fiaz , Arif Mahmood , Soon Ki Jung

This work considers the problem of detecting signals from multiple sequentially observed data streams, where only one stream can be observed at every time instant. The goal is to detect signals as quickly as possible while controlling the…

统计方法学 · 统计学 2026-04-07 Yiming Xing , Georgios Fellouris

Score following is the process of tracking a musical performance (audio) with respect to a known symbolic representation (a score). We start this paper by formulating score following as a multimodal Markov Decision Process, the mathematical…

人工智能 · 计算机科学 2018-07-18 Matthias Dorfer , Florian Henkel , Gerhard Widmer

Tracking beats of singing voices without the presence of musical accompaniment can find many applications in music production, automatic song arrangement, and social media interaction. Its main challenge is the lack of strong rhythmic and…

音频与语音处理 · 电气工程与系统科学 2022-09-01 Mojtaba Heydari , Zhiyao Duan

Music can be represented in multiple forms, such as in the audio form as a recording of a performance, in the symbolic form as a computer readable score, or in the image form as a scan of the sheet music. Music synchronisation provides a…

声音 · 计算机科学 2022-06-02 Ruchit Agrawal

Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic corpus for effective acoustic modeling. In this work, we…

音频与语音处理 · 电气工程与系统科学 2019-06-26 Chitralekha Gupta , Emre Yılmaz , Haizhou Li

Latest advances in deep spatial filtering for Ambisonics demonstrate strong performance in stationary multi-speaker scenarios by rotating the sound field toward a target speaker prior to multi-channel enhancement. For applicability in…

音频与语音处理 · 电气工程与系统科学 2026-01-22 Jakob Kienegger , Timo Gerkmann

When songs are composed or performed, there is often an intent by the singer/songwriter of expressing feelings or emotions through it. For humans, matching the emotiveness in a musical composition or performance with the subjective…

The quantity of processed data is crucial for advancing the field of singing voice synthesis. While there are tools available for lyric or note transcription tasks, they all need pre-processed data which is relatively time-consuming (e.g.,…

声音 · 计算机科学 2024-10-11 Siwei Wu , Jinzheng He , Ruibin Yuan , Haojie Wei , Xipin Wei , Chenghua Lin , Jin Xu , Junyang Lin

The advancement of machine learning in audio analysis has opened new possibilities for technology-enhanced music education. This paper introduces a framework for automatic singing mistake detection in the context of music pedagogy,…

音频与语音处理 · 电气工程与系统科学 2026-02-09 Sumit Kumar , Suraj Jaiswal , Parampreet Singh , Vipul Arora

Reactive software calls for instrumentation methods that uphold the reactive attributes of systems. Runtime verification imposes another demand on the instrumentation, namely that the trace event sequences it reports to monitors are sound…

软件工程 · 计算机科学 2024-07-16 Luca Aceto , Duncan Paul Attard , Adrian Francalanza , Anna Ingólfsdóttir

Recent works in multiple object tracking use sequence model to calculate the similarity score between the detections and the previous tracklets. However, the forced exposure to ground-truth in the training stage leads to the…

计算机视觉与模式识别 · 计算机科学 2020-03-06 Tao Hu , Lichao Huang , Han Shen

Performance-score synchronization is an integral task in signal processing, which entails generating an accurate mapping between an audio recording of a performance and the corresponding musical score. Traditional synchronization methods…

声音 · 计算机科学 2022-04-20 Ruchit Agrawal , Daniel Wolff , Simon Dixon

This paper presents and tests a new approach to composing for ensemble singing performance: reality opera. In the performance of such a composition, emotions of the singers are real and emerge as a consequence of their interactions and…

声音 · 计算机科学 2020-06-08 Alexis Kirke , Greg B. Davies , Joel Eaton

The ability to localize and track acoustic events is a fundamental prerequisite for equipping machines with the ability to be aware of and engage with humans in their surrounding environment. However, in realistic scenarios, audio signals…

音频与语音处理 · 电气工程与系统科学 2020-10-22 Christine Evers , Heinrich Loellmann , Heinrich Mellmann , Alexander Schmidt , Hendrik Barfuss , Patrick Naylor , Walter Kellermann