raminnakhli/HMM-DNN-Speech-Recognition
This repository is a Python implementation of HMM-DNN model.
This project helps create custom speech recognition systems for specific audio data, starting with unlabeled speech recordings and producing a model capable of transcribing spoken words. It's designed for researchers or practitioners in computational linguistics or audio processing who need to build or experiment with their own speech recognition engines.
No commits in the last 6 months.
Use this if you need to train a speech recognition model on a specific language or dialect for which pre-trained models are not readily available.
Not ideal if you're looking for an out-of-the-box speech-to-text application for general use cases.
Stars
15
Forks
2
Language
Python
License
—
Category
Last pushed
Jul 03, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/raminnakhli/HMM-DNN-Speech-Recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
julius-speech/julius
Open-Source Large Vocabulary Continuous Speech Recognition Engine
rolczynski/Automatic-Speech-Recognition
🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)
tabahi/formantfeatures
Extract frequency, power, width and dissonance of formants from wav files
libdriver/ld3320
LD3320 full-featured driver library for general-purpose MCU and Linux.
awsaf49/audio_classification_models
Tensorflow Audio Classification Models