Tutorials#

The best way to get started with NeMo is to start with one of our tutorials.

Most NeMo tutorials can be run on Google’s Colab.

To run a tutorial:

Click the Colab link (see table below).
Connect to an instance with a GPU. For example, click Runtime > Change runtime type and select GPU for the hardware accelerator.

**Tutorials**#
Domain	Title	GitHub URL
General	Getting Started: Exploring Nemo Fundamentals	NeMo Fundamentals
General	Getting Started: Sample Conversational AI application	Audio translator example
General	Getting Started: Voice swap application	Voice swap example
General	Exploring NeMo Model Construction	NeMo Models
General	Exploring NeMo Adapters	NeMo Adapters
General	Publishing NeMo models on Hugging Face Hub	NeMo Models on HF Hub
ASR	ASR with NeMo	ASR with NeMo
ASR	ASR with Subword Tokenization	ASR with Subword Tokenization
ASR	Offline ASR Inference with Beam Search and External Language Model Rescoring	Offline ASR
ASR	Online ASR inference with Microphone	Online ASR Microphone
ASR	Fine-tuning CTC Models on New Languages	ASR CTC Language Fine-Tuning
ASR	Intro to Transducers	Intro to Transducers
ASR	ASR with Transducers	ASR with Transducers
ASR	ASR with Adapters	ASR with Adapters
ASR	Speech Commands	Speech Commands
ASR	Online and Offline Speech Commands Inference	Online Offline Microphone Speech Commands
ASR	Voice Activity Detection (VAD)	Voice Activity Detection
ASR	Online and Offline VAD Inference	Online Offline Microphone VAD
ASR	Speaker Recognition and Verification	Speaker Recognition and Verification
ASR	Speaker Diarization Inference	Speaker Diarization Inference
ASR	ASR with Speaker Diarization	ASR with Speaker Diarization
ASR	Online Noise Augmentation	Online Noise Augmentation
ASR	ASR for Telephony Speech	ASR for Telephony Speech
ASR	Streaming inference for ASR	Streaming inference
ASR	Buffered Transducer inference for ASR	Buffered Transducer inference
ASR	Buffered Transducer inference with LCS Merge Algorithm	Buffered Transducer inference with LCS Merge
ASR	Offline ASR with VAD for CTC models	Offline ASR with VAD for CTC models
ASR	Self-supervised pre-training for ASR	Self-supervised Pre-training for ASR
NLP	Using Pretrained Language Models for Downstream Tasks	Pretrained Language Models for Downstream Tasks
NLP	Exploring NeMo NLP Tokenizers	NLP Tokenizers
NLP	Text Classification (Sentiment Analysis) with BERT	Text Classification (Sentiment Analysis)
NLP	Question Answering with SQuAD	Question Answering Squad
NLP	Token Classification (Named Entity Recognition)	Token Classification: Named Entity Recognition
NLP	Joint Intent Classification and Slot Filling	Joint Intent and Slot Classification
NLP	GLUE Benchmark	GLUE Benchmark
NLP	Punctuation and Capitalization	Punctuation and Capitalization
NLP	Entity Linking	Entity Linking
NLP	Named Entity Recognition - BioMegatron	Named Entity Recognition - BioMegatron
NLP	Relation Extraction - BioMegatron	Relation Extraction - BioMegatron
NLP	P-Tuning/Prompt-Tuning	P-Tuning/Prompt-Tuning
TTS	Speech Synthesis	TTS Inference
TTS	Speech Synthesis	FastPitch Duration and Pitch Control
TTS	Speech Synthesis	Tacotron2 Training
TTS	Speech Synthesis	TalkNet Training
TTS	Speech Synthesis	FastPitch Fine-Tuning
Tools	CTC Segmentation	CTC Segmentation
Text Processing	Text Normalization and Inverse Normalization for ASR and TTS	Text Normalization
Text Processing	Inverse Text Normalization for ASR - Thutmose Tagger	Inverse Text Normalization with Thutmose Tagger
Text Processing	Constructing Normalization Grammars with WFSTs	WFST Tutorial