spectrographic analysis
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2021 ◽  
Author(s):  
Anna Gordon

This research compares the tones of Young Andrew Andraos of Middle East and Pavarotti using Broadband spectrographic analysis


2021 ◽  
Author(s):  
Anna Gordon

Andrew Andraos exudes simple charm, while his amazing vocal talent has gained critical acclaim and widespreadadulation. Andraos began composing and playing piano at the age of five. He received 2012 Certificate of Excellenceand Appreciation - Saints Coeurs Ain Najm and 2012 UCIP Liban for excellence in composing and playing andsinging. Andrew can reach the high C of the tenor voice like Pavarotti. And he is just 14 years old. His singing,combined with good looks and delight in performance, makes his marvelous purity of young tone and dazzlingvirtuosity irresistible. Pavarotti was an Italian operatic tenor who became one of the most acclaimed and lovedtenors of all times. This research critically analyzes both voices.On one low pitch, we obtained the same vowel sequence, C3 (130.81 Hz). This was achieved in two ways to assessany calculation of their frequencies of formant expression and potential migrations away from these frequencies.Mode 1 simulated natural speech vowels and mode 2 simulated when they sang high notes, the articulatory posethey felt they assumed. For evaluating the formant frequencies at the low pitch, broadband spectrographic analysis(MacSpeech Lab II) was used (C3). A narrow-band analysis was used for the higher pitches (C4 to B4) to captureeach harmonic's energy level.


Author(s):  
Leonardo Wanderley Lopes ◽  
Allan Carlos França da Silva ◽  
Itacely Marinho da Silva ◽  
Maxsuel Alves Avelino de Paiva ◽  
Saulo Iordan do Nascimento Silva ◽  
...  

Author(s):  
Victoria Malawey

Arguing for the importance of vocal delivery in music analysis to better understand signification in popular music recordings, this chapter presents a conceptual model for analysis, places vocal elements along a continuum of dimensionality, and argues for the use of transcription and spectrographic analysis. It provides an overview of various disciplinary understandings of voice, ranging from the sonic materiality of sound, literal phonological and linguistic approaches, to more abstract philosophical and literary approaches. Finally, complexities to understanding the signification of voice, while vexing, also compel a systematic investigation of the ways in which we understand voices, and the elements that contribute to the richness of vocal signification.


Author(s):  
Victoria Malawey

A Blaze of Light in Every Word presents a conceptual model for analyzing vocal delivery in popular song recordings focused on three overlapping areas of inquiry: pitch, prosody, and quality. The domain of pitch, which refers to listeners’ perceptions of frequency, considers range, tessitura, intonation, and registration. Prosody, the pacing and flow of delivery, comprises phrasing, metric placement, motility, embellishment, and consonantal articulation. Qualitative elements include timbre, phonation, onset, resonance, clarity, paralinguistic effects, and loudness. Intersecting all three domains is the area of technological mediation, which considers how external technologies, such as layering, overdubbing, pitch modification, recording transmission, compression, reverb, spatial placement, delay, and other electronic effects, impact voice in recorded music. Though the book focuses primarily on the sonic and material aspects of vocal delivery, it situates these aspects among broader cultural, philosophical, and anthropological approaches to voice with the goal to better understand the relationship between sonic content and its signification. Drawing upon transcription and spectrographic analysis as the primary means of representation, as well as modes of analysis, this book features in-depth analyses of a wide array of popular song recordings spanning genres from indie rock to hip-hop to death metal, develops analytical tools for understanding how individual dimensions make singing voices both complex and unique, and synthesizes how multiple aspects interact to better understand the multidimensionality of singing voices.


2020 ◽  
Vol 14 (1) ◽  
pp. 22-29
Author(s):  
Daniel J. Doyle

Background: The need for reliable respiratory monitoring has increased in recent years with the frequent use of opioids for perioperative pain management as well as a high prevalence of patients suffering from respiratory comorbidities. Objective: Motivated by the success of acoustical color spectrographic techniques in other knowledge domains, we sought to build proof-of-concept systems for the computer-based color spectrographic analysis of respiratory sounds, recorded from various sites. Methods: We used a USB miniature electret microphone and a Windows-based color spectrographic analysis package to obtain color spectrograms for breath sound recordings from the neck, from an oxygen mask, from the ear canal, and from a leak-free microphone pneumatically connected to the cuff of a laryngeal mask airway. Results: Potentially useful color spectrographic displays were obtained from all four recording sites, although the spectrograms obtained varied in their characteristics. It was also found that obtaining high-quality color spectrograms requires attention to a number of technical details. Conclusion: Color spectrographic analysis of respiratory sounds is a promising future technology for respiratory monitoring.


Author(s):  
Yao Li-Min ◽  
Wen Jina

Cerebral alveolar infestation (CAI) grows infiltratively sort of a metastatic tumor, inflicting nice hurt to the frame. it's doable to show mass lesions of CAI victimisation numerous imaging systems, however concerning the infiltrating proliferation active regions, it's tough to guage its actual vary victimisation standard resonance imaging (cMRI). This analysis targeted on nucleon resonance spectrographic analysis (1HMRS) techniques to search out the mass and infiltration zone of CAI. we tend to explored the marginal zone (MZ) of CAI nearly on the brink of the particular infiltrating scope, to supply reliable pictures for clinical functions, to beat shortcomings of cMRI, to formulate useful clinical surgical plans and assess prognosis.


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