Overview
The text to speech feature converts text to natural-sounding and smooth speeches in a variety of voices in PCM, WAV, or MP3 format through advanced deep learning technology. It comes with various features such as speech speed, voice, and volume adjustment. It is suitable for diverse scenarios, including smart customer service, voice interaction, audiobook, and accessible broadcasting.
Use Cases
Smart customer service
The text to speech feature works with speech recognition and natural language processing modules to close the loop of human-machine interaction in customer service bot and task service robot use cases. The highly natural bot voices make human-machine interaction more natural.
Audiobook
Electronic courseware, novels, and other types of text can be converted to audios of different voices to create audiobooks that can be listened to at any time.
Directions
You can use the text to speech feature through jobs or workflows. In order to improve the operational efficiency and reduce repetitive operations, CI offers the template feature, which is a configuration item in jobs and workflows. You can save common parameter combinations as templates and reuse them directly in subsequent operations, with no need to set the parameters every time you start a job. You can customize text-to-speech templates as follows:
Voice description
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| | | | Chinese, Chinese-English mix | |
| | | | Chinese, Chinese-English mix | |
| | | | Chinese, Chinese-English mix | |
| | | | | |
Multi-sentiment voice description
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| | Neutral, broadcasting, calm, excited |
Note:
Text to speech supports async and sync modes. If the input text is short, such as in the one-sentence scenario, the sync mode is recommended.
Through job
You can create a text-to-speech job through the console or API for existing data stored in COS.
Console: You can create a text-to-speech job visually in the CI console as instructed in Job. Through workflow
CI provides the workflow service. You can enable a workflow for a bucket or a specific path. Then, text to speech will be automatically performed on files uploaded to the bucket or path, and the generated audio files will be saved in the specified location.
Creating workflow
You can create a workflow in the CI console as instructed in Workflow. Creating, deleting, querying, and updating workflow through API