منابع مشابه
Applications of Keyword-Constraining in Speaker Recognition
4 Approach 2: The phone lattice keyword HMM system 10 4.1 Extraction of phone sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 4.2 Keyword HMM training . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.3 Handling multiple keyword instances in a conversation side . . . . . . . . . . . . . . 13 4.4 Testing and scoring . . . . . . . . . . . . . ...
متن کاملMFCC and its applications in speaker recognition
Speech processing is emerged as one of the important application area of digital signal processing. Various fields for research in speech processing are speech recognition, speaker recognition, speech synthesis, speech coding etc. The objective of automatic speaker recognition is to extract, characterize and recognize the information about speaker identity. Feature extraction is the first step ...
متن کاملComparison of Speaker Recognition Approaches for Real Applications
This paper describes the experimental setup and the results obtained using several state-of-the-art speaker recognition classifiers. The comparison of the different approaches aims at the development of real world applications, taking into account memory and computational constraints, and possible mismatches with respect to the training environment. The NIST SRE 2008 database has been considere...
متن کاملApplications of Missing Feature Theory to Speaker Recognition
An important problem in speaker recognition is the degradation that occurs when speaker models trained with speech from one type of channel are used to score speech from another type of channel, known as channel mismatch. This thesis investigates various channel compensation techniques and approaches from missing feature theory for improving Gaussian mixture model (GMM)-based speaker verificati...
متن کاملPerformance Evaluation of Automatic Speaker Recognition Techniques for Forensic Applications
Speaker recognition is a biometric technique employed in many different contexts, with various degrees of success. One of the most controversial usage of automatic speaker recognition systems is their employment in the forensic context [1, 2], in which the goal is to analyze speech data coming from wiretappings or ambient recordings retrieved during criminal investigation, with the purpose of r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2012
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2012.06.363