AI Engineer for Speech & Language Processing in Education
About Our Engineers
An AI Engineer for Speech & Language Processing in Education specializes in speech recognition, NLP-based tutoring, and real-time transcription to enhance learning experiences. By leveraging machine learning, deep learning, and natural language processing, they develop AI-driven pronunciation assessment, automated feedback tools, and real-time captioning systems for EdTech platforms.
Key Expertise & Skills
AI-Powered Speech Recognition
NLP-Based Tutoring
Real-Time Transcription
Text-to-Speech & Speech-to-Text AI
Pronunciation Assessment
Sentiment Analysis
AI for Language Learning
Adaptive Conversational AI
AI-Driven Audio Analysis
Technologies & Tools
TensorFlow
PyTorch
OpenAI GPT
Google Cloud Speech-to-Text
AWS Transcribe
IBM Watson Speech APIs
BERT
spaCy
NLTK
Rasa
Dialogflow
Moodle LMS
BigQuery
SQL
Python
Projects Our Engineers Have Worked On
- AI-Powered Pronunciation Trainer – Developed a speech recognition tool that improved language fluency by 30%.
Automated Transcription for Online Courses – Built an AI model that generated real-time lecture captions with 95% accuracy.
AI-Powered Language Learning Chatbot – Created an NLP-driven chatbot that engaged students in real-time conversations, improving comprehension.
AI-Based Essay Grading & Feedback System – Designed an NLP model that provided instant feedback on student essays, reducing grading time by 70%.
Real-Time Sentiment Analysis for Student Engagement – Implemented AI-driven analytics that monitored student responses and improved adaptive learning strategies.
Who Should Hire This Engineer?
EdTech Startups
Language Learning Platforms
AI-Driven Tutoring Companies
Universities
Accessibility-Focused Education Platforms
Online Learning Providers