The effect upon the singing voice of a diminution in the size ofthe resonating air-spaces

1904 ◽  
Vol 14 (7) ◽  
pp. 566-566
Author(s):  
Sidney Yankauer
Keyword(s):  
Singing Voice ◽  
Size Ofthe

Recognizing emotions in the singing voice.

2017 ◽  
Vol 27 (4) ◽  
pp. 244-255 ◽  
Author(s):  
Klaus R. Scherer ◽  
Stéphanie Trznadel ◽  
Bernardino Fantini ◽  
Johan Sundberg
Keyword(s):  
Singing Voice

DETERMINATION OF THE TYPE OF A SINGLE-USE GRENADE LAUNCHER BASED ON ITS COMPOSITE PARTS AND FRAGMENTS OF REACTIVE GRENADE FOUND AT THE PLACE OF ACCIDENT

2017 ◽  
Vol 17 ◽  
pp. 245-252
Author(s):  
V. V. Somov
Keyword(s):  
Combustion Chamber ◽  
Structural Features ◽  
Outlet Section ◽  
Technical Expertise ◽  
Jet Engine ◽  
Size Ofthe ◽  
Single Use ◽  
Nozzle Block ◽  
Considerable Damage

In carrying out an investigation into the explosion, among others, the investigative version of the use of a single-use reactive grenade launcher is being considered. The most common for criminal explosions are applied grenade launchers RPG-18, RPG-22, RPG-26. Their use is due to a number of such properties as small size and weight, which makes it possible to transfer them covertly, the range of the shot significantly exceeding the range of the hand grenade throw, the high detonating effect of the rocket grenade explosion. The single-use rocket launchers are generally of the same design. Their differences are in the features of the components construction and dimensional characteristics, which are given in the article. On the basis of expert practice, details ofgrenade launchers that remain at the site of the explosion and have the least damage are determined. These details are the objects of investigation of the explosion technical expertise. These objects include launchers of grenade launchers and rocket parts ofjet grenades. The design features of the launchers, their dimensional characteristics and marking symbols make it possible to determine their belonging to a specific type of jet grenade launchers. Missile parts of jet grenades differ in the form of the combustion chamber of the jet engine, nozzle, in the size ofthe outlet section of the nozzle, in the form and size of the stabilizerfeathers. To determine the belonging of the rocket part of the grenade to a specific type ofjet grenade launcher, it’s necessary to establish a set of structural features and dimensional characteristics. At considerable damage of the combustion chamber of the jet engine, as a rule, the nozzle block remains intact that allows to define diameter of critical section of a nozzle, and on it to establish type of the used single-use grenade launcher.

Korean Singing Voice Synthesis Based on an LSTM Recurrent Neural Network

2018 ◽  
Author(s):  
Juntae Kim ◽  
Heejin Choi ◽  
Jinuk Park ◽  
Minsoo Hahn ◽  
Sangjin Kim ◽  
...  
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Singing Voice ◽  
Voice Synthesis

Opera and the South African Political

2019 ◽  
pp. 289-311
Author(s):  
Christopher Ballantine
Keyword(s):  
South Africa ◽  
South African ◽  
Singing Voice ◽  
The South ◽  
Sociopolitical Context ◽  
Creating Meaning ◽  
Empirical Means

Christopher Ballantine’s focus is on timbre, in particular the timbre of the singing voice, and how this combines with the imagination to create meaning. His investigation is largely philosophical; but the growth in popularity of opera in post-apartheid South Africa provides empirical means for Ballantine to indicate this powerful but analytically neglected way of creating meaning in the performance of music. His case study shows how timbre can produce musical experiences that have a particular, and often surprising, resonance. Through interviews with leading figures in South African opera, Ballantine demonstrates that timbre is a vital wellspring of imagined meaning; it should especially be seen thus if we seek to understand the singing voice in a sociopolitical context such as that of South Africa during and after apartheid.

Music in the British Workplace: From Voice to a Technique of Control?

2020 ◽  
Author(s):  
Marek Korczynski
Keyword(s):  
Twentieth Century ◽  
Social Control ◽  
Social History ◽  
Singing Voice ◽  
Industrial Noise ◽  
The Third ◽  
The Social ◽  
History Of

This chapter examines music in the British workplace. It considers whether it is appropriate to see the history of music in the workplace as involving a journey from the organic singing voice (both literal and metaphorical) of workers to broadcast music appropriated by the powerful to become a technique of social control. The chapter charts four key stages in the social history of music in British workplaces. First, it highlights the existence of widespread cultures of singing at work prior to industrialization, and outlines the important meanings these cultures had for workers. Next, it outlines the silencing of the singing voice within the workplace further to industrialization—either from direct employer bans on singing, or from the roar of the industrial noise. The third key stage involves the carefully controlled employer- and state-led reintroduction of music in the workplace in the mid-twentieth century—through the centralized relaying of specific forms of music via broadcast systems in workplaces. The chapter ends with an examination of contemporary musicking in relation to (often worker-led) radio music played in workplaces.

scholarly journals Audio-to-score singing transcription based on a CRNN-HSMM hybrid model

2021 ◽  
Vol 10 ◽  
Author(s):  
Ryo Nishikimi ◽  
Eita Nakamura ◽  
Masataka Goto ◽  
Kazuyoshi Yoshii
Keyword(s):  
Hybrid Model ◽  
Viterbi Algorithm ◽  
Language Model ◽  
Expressive Power ◽  
Acoustic Model ◽  
Musical Language ◽  
Musical Score ◽  
Singing Voice ◽  
Generative Process ◽  
Music Signal

This paper describes an automatic singing transcription (AST) method that estimates a human-readable musical score of a sung melody from an input music signal. Because of the considerable pitch and temporal variation of a singing voice, a naive cascading approach that estimates an F0 contour and quantizes it with estimated tatum times cannot avoid many pitch and rhythm errors. To solve this problem, we formulate a unified generative model of a music signal that consists of a semi-Markov language model representing the generative process of latent musical notes conditioned on musical keys and an acoustic model based on a convolutional recurrent neural network (CRNN) representing the generative process of an observed music signal from the notes. The resulting CRNN-HSMM hybrid model enables us to estimate the most-likely musical notes from a music signal with the Viterbi algorithm, while leveraging both the grammatical knowledge about musical notes and the expressive power of the CRNN. The experimental results showed that the proposed method outperformed the conventional state-of-the-art method and the integration of the musical language model with the acoustic model has a positive effect on the AST performance.

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