Overview
Context of the Spoken Language Processing in Python at Data Camp
We learn to speak far before we learn to read. Even in the digital age, our main method of communication is speech.
You'll start by seeing what raw audio looks like in Python. And then finish by working through an example business use case, transcribing and classifying phone call data.
Programme Structure
Chapters
- Using the Python SpeechRecognition library
- Manipulating Audio Files with PyDub
- Processing text transcribed from spoken language
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Software Engineering View 486 other Short Courses in Software Engineering in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Intermediate Python
- Introduction to Natural Language Processing in Python
- Supervised Learning with scikit-learn
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing