Contents
- Speech Recognition
- How do I use Riva ASR APIs with out-of-the-box models?
- How to Improve Recognition of Specific Words
- Conclusion
- How do I boost specific words at runtime with word boosting?
- How to Customize Riva ASR Vocabulary and Pronunciation with Lexicon Mapping
- How to pretrain a Riva ASR Language Modeling (n-gram) with TAO Toolkit
- How to Fine-Tune a Riva ASR Acoustic Model (Citrinet) with TAO Toolkit
- How to deploy custom Acoustic Model (Citrinet) trained with TAO Toolkit on Riva
- Speech Recognition - New Language Adaptation
- ASR Overview
- ASR Customization Best Practices
- Pipeline Configuration
- Streaming/Offline Recognition
- Language Models
- Flashlight Decoder Lexicon
- Beginning/End of Utterance Detection
- Neural-Based Voice Activity Detection
- Generating Multiple Transcript Hypotheses
- Impact of Chunk Size and Padding Size on Performance and Accuracy (Advanced)
- Sharing Acoustic and Feature Extractor Models Across Multiple ASR Pipelines (Advanced)
- Riva-build Optional Parameters
- Performance
- ASR Advanced Details