PanosAntoniadis/slp-ntua
Lab exercises of Speech and Language Processing course in NTUA
This project provides practical exercises for students learning about speech and language processing. It helps them understand how to represent language, build a speech recognition system using the KALDI toolkit, and classify sentiment with neural networks. Students would use these materials to gain hands-on experience with core concepts in the field.
No commits in the last 6 months.
Use this if you are a student or educator looking for structured lab exercises to learn or teach speech and language processing.
Not ideal if you are a practitioner seeking a production-ready tool or a researcher needing advanced, cutting-edge implementations.
Stars
11
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 08, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/PanosAntoniadis/slp-ntua"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Picovoice/rhino
On-device Speech-to-Intent engine powered by deep learning
yandexdataschool/speech_course
YSDA course in Speech Processing.
MycroftAI/adapt
Adapt Intent Parser
Picovoice/speech-to-intent-benchmark
benchmark for Speech-to-Intent engines
IBM/BigLittleNet
Official repository for Big-Little Net