Unit:
Department of Informatics and TelecommunicationsΠληροφορική
Author:
ANASTASOPOULOS DIMITRIOS
Supervisors info:
Γεώργιος Κουρουπέτρογλου, Καθηγητής, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Υποστήριξη Ψηφιακής Επεξεργασίας Ομιλίας και Μουσικής από την Python
Translated title:
Python's Support in Digital Speech and Music Processing
Summary:
This assignment is about programming language Python and its support on digital sound processing, more specifically on music and speech. The purpose of this task is to analyze and present all available ways provided by that language to achieve audio processing in these two areas.
The subject of the study is divided into two parts, one for each independent analysis area. The first part presents the libraries for speech processing. Python’s software is analyzed in voice recognition applications, speech frequency spectrum analysis, and text-to-speech applications.
The second part presents libraries related to music processing in areas such as composition, analysis and production of various digital formats.
The methodology followed includes the downloading and testing of all free available software, in terms of capabilities, prerequisites and documentation, presenting these properties and then comparing the results to draw the conclusion. The comparison derives which of the tested software / libraries provide the user with greater convenience and features to achieve digital speech and music processing.
Main subject category:
Technology - Computer science
Keywords:
Frequency, signal, recognition, digital, computer, program
