Collaborative personal speaker identification: A generalized approach
نویسندگان
چکیده
منابع مشابه
SocialSense: A Collaborative Mobile Platform for Speaker and Mood Identification
We present SocialSense, a collaborative smartphone based speaker and mood identification and reporting system that uses a user's voice to detect and log his/her speaking and mood episodes. SocialSense collaboratively works with other phones that are running the app present in the vicinity to periodically send/receive speaking and mood vectors to/from other users present in a social interaction ...
متن کاملNovel Approach to Text Independent Speaker Identification
In this paper, we propose Speaker Identification using two transforms, namely Kekre’s Transform and Kekre’s Wavelet Transform. The speech signal is spoken by a particular speaker is converted into a spectrogram by first taking 25 or 50% overlapping frames between consecutive sample vectors and arranged in the form of matrix. In order to improve the performance, intially log of matrix is taken a...
متن کاملA Novel Minimum Divergence Approach to Robust Speaker Identification
In this work, a novel solution to the speaker identification problem is proposed through minimization of statistical divergences between the probability distribution (g) of feature vectors from the test utterance and the probability distributions of the feature vector corresponding to the speaker classes. This approach is made more robust to the presence of outliers, through the use of suitably...
متن کاملA Statistical Approach to Speaker Identification in Forensic Phonetics
Speaker identification can be summarized as the classification task that determines if two voices were spoken by the same person or not. It is a thoroughly studied topic, since it has applications in many fields. One is forensic phonetics, considered very hard since the expert has to face ambient noise, very short recordings, interference, loss of signal, and so on. For decades, these problems ...
متن کاملA Wavelet Based Approach for Speaker Identification from Degraded Speech
This paper presents a robust speaker identification method from degraded speech signals. This method is based on the Mel-frequency cepstral coefficients (MFCCs) for feature extraction from the degraded speech signals and the wavelet transform of these signals. It is known that the MFCCs based speaker identification method is not robust enough in the presence of noise and telephone degradations....
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: Pervasive and Mobile Computing
سال: 2012
ISSN: 1574-1192
DOI: 10.1016/j.pmcj.2011.02.005