Alternatives and similar repositories for my_hmm_gmm_speech_recognition

Users that are interested in my_hmm_gmm_speech_recognition are comparing it to the libraries listed below

• SusannaWull / speechFeatures
  语音处理，声源定位中的一些基本特征
  ☆50Updated 7 years ago
• zhengyima / HMM_Digital_Voice_Recognition
  基于HMM与MFCC特征进行数字0-9的语音识别，HMM，GMMHMM，MFCC，语音识别，sklearn，Digital Voice Recognition。
  ☆16Updated 2 years ago
• wangleiai / dVectorSpeakerRecognition
  基于dVector的说话人识别keras
  ☆89Updated 4 years ago
• Magic-Bubble / SpeechProcessForMachineLearning
  用于机器学习的语音特征提取，包含FBank和MFCC等，原理讲解和step by step的实现
  ☆52Updated 5 years ago
• YongyuG / separation_data_preparation
  Data preparation for separation
  ☆76Updated 4 years ago
• PandoraLS / traditional-speech-enhancement
  语音增强传统方法
  ☆135Updated 2 years ago
• PandoraLS / SpeechEnhancement
  语音增强
  ☆17Updated 4 years ago
• AIBigTruth / 0-9-speech-recognition-system-based-on-GMM
  基于GMM的0-9孤立词语音识别系统
  ☆10Updated 4 years ago
• LXP-Never / AEC_DeepModel
  基于深度学习的声学回声消除基线代码
  ☆142Updated 3 years ago
• zengchang233 / GMM_baseline
  未来杯语音赛道说话人识别的baseline
  ☆48Updated 6 years ago
• zlzhang1124 / voice_activity_detection
  Audio Split 基于双门限法的语音端点检测及语音分割
  ☆132Updated 4 years ago
• zzpDapeng / speech_data_augment
  A summary of speech data augment algorithms
  ☆68Updated 4 years ago
• kingback2019 / Speech_MFCC_GFCC_Python
  求取语音的MFCC参数和GFCC参数，可用于语音信号特征提取
  ☆10Updated 3 years ago
• iariav / End-to-End-VAD
  an Audio-Visual Voice Activity Detection using Deep Learning
  ☆48Updated 6 years ago
• speechdnn / Noises
  Noise15 , Noisex-92 and Nonspeech
  ☆39Updated 4 years ago
• yoonsanghyu / FaSNet-TAC-PyTorch
  Full implementation of "End-to-end microphone permutation and number invariant multi-channel speech separation" (Interspeech 2020)
  ☆65Updated 3 years ago
• peak1995 / Speech-enhancement-dsp
  传统方法语音增强matlab实现 1、谱减法 2、维纳滤波法 3、卡尔曼滤波法
  ☆87Updated 6 years ago
• yuweiwan / ASR-SG-HMM-GMM
  speech recognition of digits based on single Gaussian, Gaussian Mixture, and Hidden Markov Models
  ☆10Updated 4 years ago
• peak1995 / segan
  基于gan的语音增强
  ☆16Updated 6 years ago
• desh2608 / gmm-hmm-asr
  Python implementation of simple GMM and HMM models for isolated digit recognition.
  ☆63Updated 4 years ago
• zw76859420 / ASR_Syllable
  基于卷积神经网络的语音识别声学模型的研究
  ☆174Updated 5 years ago
• ZhihaoDU / speech_feature_extractor
  Some useful features of speech process, such as MFCC, gammatone filterbank, GFCC, spectrum(power spectrum and log-power spectrum), Amplit…
  ☆127Updated 4 years ago
• YorLife / webRTC-
  利用webRTC对语音进行处理，实现VAD和降噪处理
  ☆51Updated 6 years ago
• Kevinnan-teen / Speaker-Recognition
  说话人识别（声纹识别）算法的Python实现。包括GMM（已完成）、GMM-UBM、ivector、基于深度学习的声纹识别（self-attention已完成）。
  ☆94Updated 2 years ago
• linan2 / TensorFlow-speech-enhancement-Chinese
  基于深度学习的语音增强、去混响
  ☆91Updated last year
• zyzisyz / mfa_conformer
  ☆149Updated 2 years ago
• wzhiyuyu / Wave-U-Net-for-SpeechEnhancement
  把 wave-u-net 网络应用于语音增强领域中
  ☆14Updated 4 years ago
• zw76859420 / ASR_WORD
  采用端到端方法构建声学模型，以字为建模单元，采用DCNN-CTC网络结构。
  ☆70Updated 6 years ago
• Gitxiaoke / SNnet
  网络出处：Interactive Speech and Noise Modeling for Speech Enhancement
  ☆28Updated 3 years ago
• seorim0 / DCCRN-with-various-loss-functions
  DCCRN with various loss functions
  ☆95Updated 2 years ago