- Open Language Resources: Utilize open sources like Common Voice project, Hugging Face’s pre-trained models, and Zero Resource Speed Challenge for multilingual speech recognition and synthesis data.
- Data Augmentation Strategies: Techniques like time stretching and pitch shifting can generate more training data, making it a valuable approach for building voice AI systems in under-resourced languages.
- Building Voice AI Systems: Dr. Shekhar Nayak shares insights on open language resources and strategies for building speech systems in under-resourced languages, including data augmentation and multilingual acoustic modeling techniques.
- Data Scarcity Challenges: Addressing data scarcity is crucial, as it remains a significant challenge in building voice AI systems, particularly in under-resourced languages.
Open language resources and strategies for building speech systems in under-resourced languages
