Open Access
Pitch Extraction and Fundamental Frequency: History and Current Techniques
Reads0
Chats0
TLDR
A discussion of the history of pitch detection techniques, as well as a survey of the current state of the art in pitch detection technology are presented.Abstract:
Pitch extraction (also called fundamental frequency estimation) has been a popular topic in many fields of research since the age of computers. Yet in the course of some 50 years of study, current techniques are still not to a desired level of accuracy and robustness. When presented with a single clean pitched signal, most techniques do well, but when the signal is noisy, or when there are multiple pitch streams, many current pitch algorithms still fail to perform well. This report presents a discussion of the history of pitch detection techniques, as well as a survey of the current state of the art in pitch detection technology.read more
Citations
More filters
Journal ArticleDOI
Spoofing and countermeasures for speaker verification
TL;DR: A survey of past work and priority research directions for the future is provided, showing that future research should address the lack of standard datasets and the over-fitting of existing countermeasures to specific, known spoofing attacks.
Spoofing and countermeasures for speaker verification: a sur vey
TL;DR: In this paper, the authors provide a survey of spoofing countermeasures for automatic speaker verificati on, highlighting the need for more effort in the future to ensure adequate protection against spoofing attacks.
Journal ArticleDOI
Human and computer recognition of regional accents and ethnic groups from British English speech
TL;DR: It seems that the state-of-the-art LID system performs much better on the standard 12 class NIST 2003 Language Recognition Evaluation task or the two class ethnic group recognition task than on the 14 class regional accent recognition task.
Dissertation
Accurate telemonitoring of Parkinson's disease symptom severity using nonlinear speech signal processing and statistical machine learning
TL;DR: It is demonstrated that this study can successfully differentiate PD subjects from healthy controls with 98.5% overall accuracy, and provide rapid, objective, and remote replication of UPDRS assessment with clinically useful accuracy.
Journal ArticleDOI
Gender-Driven Emotion Recognition Through Speech Signals For Ambient Intelligence Applications
TL;DR: The results highlight that the a priori knowledge of the speaker's gender allows a performance increase, and that the features selection adoption assures a satisfying recognition rate and allows reducing the employed features.
References
More filters
Book
Chaos: Making a New Science
TL;DR: The chaos theory as mentioned in this paper is an extension of classical mechanics in which simple and complex causes are seen to interact, and the implications are staggeringly universal in all areas of scientific work and philosophical thought.
Journal ArticleDOI
YIN, a fundamental frequency estimator for speech and music
TL;DR: An algorithm is presented for the estimation of the fundamental frequency (F0) of speech or musical sounds, based on the well-known autocorrelation method with a number of modifications that combine to prevent errors.
Book ChapterDOI
Auditory Scene Analysis
TL;DR: Auditory scene analysis (ASA) as discussed by the authors is a method for partitioning the time-varying spectrum resulting from mixtures of individual acoustic signals, and it is used for scene analysis.
Book
Speech Analysis, Synthesis and Perception
TL;DR: A second edition was begun in 1970, the aim was to retain the original format, but to expand the content, especially in the areas of digital communications and com puter techniques for speech signal processing.
Journal ArticleDOI
Sensation and Perception .—I.
TL;DR: In this paper, it is shown that different meanings have been attached to the words sensation and perception by different writers; and this diversity of meaning is to be met with in physiological as well as in more strictly philosophical works.