Domain-Specificadvanced๐Ÿ†• new#18 in demand

Speech Recognition

Speech recognition is the technology that converts spoken language into text. It involves processing audio signals, extracting features, and using machine learning models to transcribe speech accurately.

AI companies need speech recognition for voice assistants, transcription services, and human-computer interaction. With the rise of multimodal AI and voice interfaces, accurate and efficient speech-to-text systems are critical for product development.

Companies hiring for this:
AnthropicApple MLxAI
Prerequisites:
Python programmingbasic machine learningsignal processing basics

๐ŸŽ“ Courses

๐ŸŽ“Courseraintermediate

Automatic Speech Recognition

by Google Cloud Training

This course provides hands-on experience with Google's speech recognition APIs and covers practical implementation aspects.

โ–ถ๏ธYouTubeintermediate

Speech Recognition with Deep Learning

by Alexander Amini

This MIT lecture series covers fundamental deep learning architectures for speech recognition including CTC and sequence-to-sequence models.

๐Ÿค—HuggingFaceintermediate

Hugging Face Audio Course

by Hugging Face Team

This practical course teaches how to use state-of-the-art speech recognition models from the Hugging Face ecosystem.

๐Ÿ“– Books

Speech and Audio Processing for Machine Learning

T. V. Sreenivas, R. Muralishankar ยท 2024

This 2024 textbook provides a modern, comprehensive foundation in speech and audio signal processing specifically for machine learning applications, including deep learning for ASR.

Deep Learning for Speech and Audio Processing

Woon Seng Gan, Sen M. Kuo ยท 2023

Published in 2023, this book offers a practical guide to contemporary deep learning models like Transformers and diffusion models applied to speech recognition, synthesis, and enhancement.

Machine Learning for Speech and Audio Processing

Sunila Gollapudi ยท 2023

This 2023 book focuses on hands-on implementation of ML and deep learning techniques for real-world speech and audio tasks, including building end-to-end ASR systems.

๐Ÿ› ๏ธ Tutorials & Guides

Building a Speech Recognition System with PyTorch

Practical tutorial showing how to build an end-to-end speech recognition pipeline using PyTorch.

Fine-tuning Whisper for Speech Recognition

Step-by-step guide to fine-tuning OpenAI's Whisper model on custom datasets for improved accuracy.

Real-time Speech Recognition with TensorFlow

Official TensorFlow tutorial covering basic speech recognition implementation and audio preprocessing.

Speech Recognition with Kaldi

Comprehensive tutorial for using Kaldi, a widely-used toolkit for speech recognition research and development.

Building End-to-End Speech Recognition

Explains modern end-to-end speech recognition architectures with practical implementation considerations.

Learning resources last updated: April 13, 2026