| 000 -LEADER |
| fixed length control field |
02643nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
FT8772 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251106131101.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
251106b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
T58.5 A43 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Alano, Deanne Faith R.; Placido, John Miguel P.; Ramos, Jose Miguel Enrico P. |
| 245 ## - TITLE STATEMENT |
| Title |
Perfect pitch coach: Note match detection voice training using AI |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2025 |
| 300 ## - PHYSICAL DESCRIPTION |
| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024 |
| 336 ## - CONTENT TYPE |
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
| Formatted contents note |
ABSTRACT: This study explores the development and impact of the “Perfect Pitch Coach” mobile application, an AI-driven tool designed to assist aspiring singers and vocal learners in improving their vocal skills through real-time pitch detection, personalized feedback, and structured training exercises. Traditional vocal training methods often lack immediate feedback and require professional instruction, which may not always be accessible to learners. To address these challenges, the application utilizes advanced machine learning algorithms to analyze vocal input, providing precise evaluations of pitch accuracy, vocal technique, and tonal stability. By offering customized exercises, interactive feedback, and progress tracking, the system enables users to enhance their singing accuracy in a structured and engaging manner. The user-friendly interactive ensures accessibility for individuals from diverse musical backgrounds, fostering confidence and encouraging consistent practice. Additionally, features such as gamification elements, goal-setting options, and real-time performance analysis help maintain user engagement and motivation, making learning both effective and enjoyable. The study findings confirm that the application significantly enhances vocal training by delivering reliable and accurate pitch detection, promoting continuous improvement, and maintaining full operational availability. The integration of artificial intelligence into vocal education highlights the potential of technology-driven learning tools in transforming traditional vocal coaching into a more accessible, efficient, and personalized experience. Overall, the “Perfect Pitch Coach” serves as an innovative and practical solution, empowering users to refine their singing abilities, develop their musical skills, and reach their full potential in vocal performance. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |