Algorithms for an Automatic Transcription of Live Music Performances into Symbolic Format

2010 ◽  
pp. 422-437
Author(s):  
Stefano Baldan ◽  
Luca A. Ludovico ◽  
Davide A. Mauro
Keyword(s):  
Live Music ◽  
Automatic Transcription

scholarly journals Multichannel speaker interference reduction using frequency domain adaptive filtering

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Patrick Meyer ◽  
Samy Elshamy ◽  
Tim Fingscheidt
Keyword(s):  
Wiener Filter ◽  
Echo Cancellation ◽  
Filter Method ◽  
Noise Component ◽  
Interference Reduction ◽  
Live Music ◽  
Audio Recordings ◽  
Automatic Transcription ◽  
Component Estimation ◽  
Filter Approach

Abstract Microphone leakage or crosstalk is a common problem in multichannel close-talk audio recordings (e.g., meetings or live music performances), which occurs when a target signal does not only couple into its dedicated microphone, but also in all other microphone channels. For further signal processing such as automatic transcription of a meeting, a multichannel speaker interference reduction is required in order to eliminate the interfering speech signals in the microphone channels. The contribution of this paper is twofold: First, we consider multichannel close-talk recordings of a three-person meeting scenario with various different crosstalk levels. In order to eliminate the crosstalk in the target microphone channel, we extend a multichannel Wiener filter approach, which considers all individual microphone channels. Therefore, we integrate an adaptive filter method, which was originally proposed for acoustic echo cancellation (AEC), in order to obtain a well-performing interferer (noise) component estimation. This results in an improved speech-to-interferer ratio by up to 2.7 dB at constant or even better speech component quality. Second, since an AEC method requires typically clean reference channels, we investigate and report findings why the AEC algorithm is able to successfully estimate the interfering signals and the room impulse responses between the microphones of the interferer and the target speakers even though the reference signals are themselves disturbed by crosstalk in the considered meeting scenario.

REGULATION WITHOUT REPRESENTATION NSW Live Music Policy 1992–2008

Perfect Beat ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 5-21 ◽  
Author(s):  
David Panichi
Keyword(s):  
Live Music

New Prayers, Here and Now: Reconnecting to Israel Through Engaging in Prayer, Poetry, and Song

2008 ◽  
Vol 23 (2) ◽  
pp. 77-98
Author(s):  
Adina B. Newberg
Keyword(s):  
Political Life ◽  
Tel Aviv ◽  
Existential Crisis ◽  
Live Music

Israelis who have until now viewed themselves as "secular" in the rigid Israeli dichotomy between "religious" and "secular" are finding new ways of creating communities of meaning that connect to Jewish sources and yet stay aligned to values of pluralism and humanism.These communities that do not follow the letter of the halakhah are developing in highly "secular" environments such as Tel Aviv and Nahalal and create Shabbat and holiday services combining live music, traditional prayers, and newly created prayers. By doing this, they come nearer to finding a closer echo and a truer mirror to their concerns and spiritual searches while, at the same time, finding spiritual expressions to their deep longing for connection to Judaism. Beyond the services and the communities that are forged, a new identity that bridges aspects of secularism, humanism, and spirituality is being created.The article analyzes the reasons for this relatively new phenomenon in the context of Israeli religious and political life, and the existential crisis that has evolved as a result. The article also describes in detail two such communities as examples of this development.

scholarly journals Transcription Alignment of Historical Vietnamese Manuscripts without Human-Annotated Learning Samples

2021 ◽  
Vol 11 (11) ◽  
pp. 4894
Author(s):  
Anna Scius-Bertrand ◽  
Michael Jungo ◽  
Beat Wolf ◽  
Andreas Fischer ◽  
Marc Bui
Keyword(s):  
Object Detection ◽  
State Of The Art ◽  
Positive Impact ◽  
Detection System ◽  
Training Data ◽  
Detection Accuracy ◽  
Current State ◽  
Alignment Task ◽  
Scanned Image ◽  
Automatic Transcription

The current state of the art for automatic transcription of historical manuscripts is typically limited by the requirement of human-annotated learning samples, which are are necessary to train specific machine learning models for specific languages and scripts. Transcription alignment is a simpler task that aims to find a correspondence between text in the scanned image and its existing Unicode counterpart, a correspondence which can then be used as training data. The alignment task can be approached with heuristic methods dedicated to certain types of manuscripts, or with weakly trained systems reducing the required amount of annotations. In this article, we propose a novel learning-based alignment method based on fully convolutional object detection that does not require any human annotation at all. Instead, the object detection system is initially trained on synthetic printed pages using a font and then adapted to the real manuscripts by means of self-training. On a dataset of historical Vietnamese handwriting, we demonstrate the feasibility of annotation-free alignment as well as the positive impact of self-training on the character detection accuracy, reaching a detection accuracy of 96.4% with a YOLOv5m model without using any human annotation.

scholarly journals Cultural Sustainability in University Students’ Flamenco Music Event Attendance: A Neural Networks Approach

2021 ◽  
Vol 13 (5) ◽  
pp. 2911
Author(s):  
Jesús Manuel De Sancha-Navarro ◽  
Juan Lara-Rubio ◽  
María Dolores Oliver-Alfonso ◽  
Luis Palma-Martos
Keyword(s):  
University Students ◽  
Cultural Capital ◽  
Research Work ◽  
Cultural Consumption ◽  
Cultural Sustainability ◽  
Intangible Heritage ◽  
Live Music ◽  
Socioeconomic Profile ◽  
The One ◽  
The Relationship

University students consume live music; however, almost 40% declare that they have never attended a flamenco show, an intangible heritage of humankind. Numerous studies have shown that cultural capital and socioeconomic profile, among other factors, are variables that influence cultural consumption, and therefore, cultural sustainability. Considering the relationship between several variables, this paper pursues a double objective. On the one hand, identifying the factors that influence attendance at flamenco shows, and on the other, proposing a predictive model that quantifies the likelihood of an individual attending a flamenco show. To this end, we analyse flamenco consumption by means of a survey conducted on 452 university students, using Multilayer Perceptrom (a non-parametric model), a methodology based on an artificial neural network. Our results confirm the importance of cultural capital, as well as personal and external factors, among other. The findings of this research work are of potential interest for management and planning of cultural events, as well as to promote cultural sustainability.

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