Pinned Repositories
-speaker-recognition
3D-convolutional-speaker-recognition
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
3D-convolutional-speaker-recognition-1
https://github.com/astorfi/3D-convolutional-speaker-recognition.git
3D-convolutional-speaker-recognition-pytorch
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
3D-convolutional-speaker-recognition-with-streaming
aaa
AcousticSimulator
Numerical Simulation of Sound Propagation
ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
ipyparallel
Interactive Parallel Computing in Python
SPEAKER_RECOGNITION-11
Speaker recognition system using neural networks
Ming0818's Repositories
Ming0818/AcousticSimulator
Numerical Simulation of Sound Propagation
Ming0818/ipyparallel
Interactive Parallel Computing in Python
Ming0818/3D-convolutional-speaker-recognition-1
https://github.com/astorfi/3D-convolutional-speaker-recognition.git
Ming0818/asrgen
Attacking Speaker Recognition with Deep Generative Models
Ming0818/ChallengeProject
Bio-Security Speaker Recognition
Ming0818/Chun-Lin-Kuo-Speaker-Recognition
Ming0818/Chun-Lin-Kuo-Speaker-Recognition-1
Ming0818/DeepSpeaker-pytorch
Speaker embedding(verification and recognition) using Pytorch
Ming0818/gait-biometric-recognition-system-matlab-source-code
speaker recognition biometric system matlab code
Ming0818/recognito
Java Speaker Recognition Framework
Ming0818/Speaker-Recognition-35
Recognise a particular speaker from a set of given database of multiple voices.
Ming0818/Speaker-Recognition-46
Ming0818/speaker-recognition-47
LING320 Project Code
Ming0818/speaker-recognition-59
Speaker Recognition aims to recognize which speaker is speaking! We have coded a simple GMM model and used MFCC Features for the feature extraction
Ming0818/speaker-recognition-biometric-system-matlab-code
speaker recognition biometric system matlab code
Ming0818/speaker-recognition-papers
Share some recent speaker recognition papers and their implementations.
Ming0818/Speaker-Recognition-using-Laughter-bouts
Ming0818/Speaker-Recognition-using-MFCC-and-VQ
Ming0818/Speaker-Recognition-using-Neural-Networks
Ming0818/Speaker-Recognition-with-GMM
CSC401 Project 3
Ming0818/speaker_recognition
speaker recognition using keras
Ming0818/speaker_recognition-14
Ming0818/speaker_recognition-15
Ming0818/speaker_recognition-18
Распознавание диктора по голосовой записи
Ming0818/Speaker_recognition-25
convergys_internship
Ming0818/speaker_recognition_text_independent
Ming0818/speakerIdentificationNeuralNetworks
⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network based on error back propagation training algorithm was used to train and test the system. ⇨ The system response time was 74 µs with an average efficiency of 95%.
Ming0818/SpeakerRecognition-17
Ming0818/SpeakerRecognition-19
Ming0818/SpeakerRecognition-20
End-to-end network for Speaker Recognition