soheil-mp/Speech-Recognition
End-to-End Speech Recognition using Neural Networks.
This project helps convert spoken audio into written text automatically. It takes raw audio recordings as input and produces a predicted transcription of the speech. Individuals who need to quickly and accurately transcribe audio, such as journalists, researchers, or content creators, would find this tool useful.
No commits in the last 6 months.
Use this if you need to transform spoken words from audio files into written text without manual transcription.
Not ideal if you require real-time, highly specialized transcription for niche audio or languages not covered by standard datasets.
Stars
35
Forks
21
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/soheil-mp/Speech-Recognition"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
githubharald/CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon...
githubharald/CTCWordBeamSearch
Connectionist Temporal Classification (CTC) decoder with dictionary and language model.
nl8590687/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
athena-team/athena
an open-source implementation of sequence-to-sequence based speech processing engine
hirofumi0810/tensorflow_end2end_speech_recognition
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)