Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models
On the limits of automatic speaker verification: Explaining degraded recognizer scores through acoustic changes resulting from voice disguise: The Journal of the Acoustical Society of America: Vol 146, No 1
Speech Recognition: a review of the different deep learning approaches | AI Summer
Gaussian Mixture Model: A Modeling Technique for Speaker Recognition and its Component | Semantic Scholar
Google AI Blog: Joint Speech Recognition and Speaker Diarization via Sequence Transduction
Language and Speaker Identification using Gaussian Mixture Model Prepare by Jacky Chau The Chinese University of Hong Kong 18th September, ppt download
SPEAKER RECOGNITION USING MFCC AND GMM | Semantic Scholar
Speaker Recognition System using Gaussian Mixture Model | Semantic Scholar
Speech Recognition Overview: Main Approaches, Tools & Techniques | Apriorit
PDF) Automatic Speaker Recognition Based on Mel-Frequency Cepstral Coefficients and Gaussian Mixture Models | Sania Bhatti - Academia.edu
PDF) Robust text-independent speaker identification using Gaussian Mixture speaker models
PDF) Text Independent Automatic Speaker Recognition System Using Mel-Frequency Cepstrum Coefficient and Gaussian Mixture Models | Md. Rafiqul Islam - Academia.edu
FAR/FRR plots of speaker identification using Gaussian mixture models... | Download Scientific Diagram
A Speaker Recognition System Using Gaussian Mixture Model, EM Algorithm and K-Means Clustering
Speaker Recognition using Gaussian Mixture Model
Speaker Identification | Projects | Ronak Bajaj
Automatic speaker recognition using Gaussian mixture speaker models
Automatic speaker recognition using Gaussian mixture speaker models
A Speaker Recognition System Using Gaussian Mixture Model, EM Algorithm and K-Means Clustering
Speech Recognition — GMM, HMM. Before the Deep Learning (DL) era for… | by Jonathan Hui | Medium
Speaker Recognition Using MFCC and GMM with EM | Semantic Scholar
Application of Speaker Recognition Based on LSSVM and GMM Mixture Model - SciAlert Responsive Version
NVIDIA Accelerates Real Time Speech to Text Transcription 3500x with Kaldi | NVIDIA Technical Blog
Automatic speaker recognition using Gaussian mixture speaker models
Speech Recognition — GMM, HMM. Before the Deep Learning (DL) era for… | by Jonathan Hui | Medium
