Key configuration items for STT functions
To ensure the accuracy of your transcription results, use Orate's speech-to-text feature with the following points in mind:
- Model Selection: Choose the optimal model from the AI provider for different scenarios, such as AssemblyAI's
'best'model is suitable for high precision requirements, while the'fast'The model is suitable for applications with high real-time requirements. Calling Example:model: assembly.stt('best') - Audio pre-processingAlthough Orate automatically handles common audio formats, it is still recommended to check the audio quality in advance (sampling rate of 16kHz or higher is recommended, mono is preferred), as background noise may affect the accuracy of the transcription.
- Language Support: It is necessary to check whether the selected model supports the target language, e.g. ElevenLabs'
multilingual_v2Chinese is supported, while some base models may be English-only. - API Key Management: Setting the AI provider's API key correctly in the project configuration (e.g., AssemblyAI's key needs to be independent of OpenAI), Orate's documentation provides guidelines for obtaining keys for each platform.
In addition, for long audio files, the performance can be optimized by combining with Orate's segment processing function, detailed parameters can be found in the official example of thechunk_sizeConfiguration.
This answer comes from the articleOrate: A Unified API for Integrating Well-Known Speech Generation, Speech Transcription and Voice Change ModelsThe
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