Overview of Custom Speech Service
Azure Custom Speech Service offers the capability to evaluate and enhance the accuracy of speech recognition for various applications and products. By creating custom speech models, users can improve real-time speech-to-text, speech translation, and batch transcription for specific domains.
Utilizing Custom Models for Enhanced Recognition
Custom speech models can be tailored to augment base models with domain-specific vocabulary, audio data, and structured text. This customization enhances recognition accuracy for application-specific terminology and unique audio conditions, improving overall performance.
Training and Deployment Process
To leverage custom speech capabilities, users can follow a structured process. This involves creating a project, selecting a model, uploading test data, training the model with written transcripts and audio data, testing recognition quality, and deploying the optimized model to a custom endpoint.
Variety of Custom Speech Models
Users have the flexibility to opt for different custom speech models based on their requirements. They can choose between base models that provide general accuracy, custom models for specific domains, or multiple models for diverse vocabulary needs within a domain.
Enhancing Model Stability and Lifecycle
Once deployed, a base or custom model in the Azure Custom Speech Service remains stable until an update is necessary. This ensures consistent speech recognition quality, even when new base models are released, allowing users to maintain the performance of their chosen model.
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