عنوان فارسی مقاله: ویژگی های صدا برای تشخیص گفتار: از Mel-فرکانس کپستروم ضرایب (MFCC) به ویژگی های گلوگاه (BNF)
عنوان انگلیسی مقاله:
فهرست مطالب
Acoustic Features for Speech Recognition: From Mel-Frequency Cepstrum CoefficientsBottleNeck Features(BNF)
References (MFCC) to BottleNeck Features(BNF)
Outline
What are acoustic features?
Mel-Frequency Cepstrum Coefficients(MFCC)
MFCC (from wiki)
MFCC
Hamming Window
MFCC
Mel-Filter Bank Outputs
MFCC
Cepstral Coeffiencents
MFCC
The final step
The MFCC framework
Improvement of the MFCC frameworkImprovement of the MFCC framework
How do we let the data drive the coefficients?
Data driven transformations
Machine Learning
The Deep Neural Network
The Deep Neural Network
BottleNeck Features(BNF)
بخشی از مقاله
The MFCC framework
The action of applying DFT, mel-Filter bank, and DCT can be viewed as multiplying the input feature by a matrix with predefined weights.
These weights are designed by “human heuristics”
کلمات کلیدی:
GitHub - jameslyons/python_speech_features: This library provides ...https://github.com/jameslyons/python_speech_featuresThis library provides common speech features for ASR including MFCCs and ... Mel Frequency Cepstral Coefficients; Filterbank Energies; Log Filterbank ...Missing: rom bottleneckMel-frequency cepstrum - Wikipediahttps://en.wikipedia.org/wiki/Mel-frequency_cepstrumIn sound processing, the mel-frequency cepstrum (MFC) is a representation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively ... MFCCs are commonly used as features in speech recognition systems, such ...Missing: rom bottleneck[PDF]Analysis of a low-dimensional bottleneck neural network ...www.birmingham.ac.uk/Documents/college-eps/eece/.../IS2015BottleneckFeatures.pd...by L Bai - Cited by 6 - Related articlesThe bottleneck features are employed in a conventional HMM- based phoneme ... Mel-frequency cepstral coefficients (MFCCs) are currently the mainstream ...Patent US9280968 - System and method of using neural transforms of ...https://www.google.si/patents/US9280968The method of claim 9 , wherein the bottleneck features are weighted using an .... with other features (Mel frequency cepstral coefficient (MFCC), perceptual linear ... A basic input/output (BIOS) stored in ROM 140 or the like, may provide the ...[PDF]Bottleneck Features from SNR-Adaptive Denoising Deep Classifier for ...www.eie.polyu.edu.hk/~mwmak/papers/apsipa15b.pdfby Z TAN - Cited by 1 - Related articlesIndex Terms—Deep learning; Bottleneck features, denoising autoencoder ... mel frequency cepstral coefficient (MFCC) [13]. II. ... On one hand, cepstral features have ..... [21] J. Campbell, “Testing with the yoho cd-rom voice verification corpus,”.
