Submitting a Voice Training Task

This API is used to submit a training task. After this API is called, task review starts. After the review is complete, the model waits for training.

For details, see Calling APIs.

POST /v1/{project_id}/voice-training-manage/user/jobs/{job_id}

**Table 1** Path Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.
job_id	Yes	String	Task ID.

**Table 2** Request header parameters
Parameter	Mandatory	Type	Description
X-Auth-Token	No	String	User token. This parameter is mandatory when token authentication is used. You can obtain the token by calling the IAM API used to obtain a user token. Value of X-Subject-Token in the response header.
Authorization	No	String	Authentication information. This parameter is mandatory for AK/SK authentication.
X-Sdk-Date	No	String	Time when the request is sent. This parameter is mandatory for AK/SK authentication. The format is YYYYMMDD'T'HHMMSS'Z'.
X-Project-Id	No	String	Project ID. This parameter is mandatory for AK/SK authentication.
X-App-UserId	No	String	Third-party user ID, which does not allow Chinese characters.

**Table 3** Request body parameters
Parameter	Mandatory	Type	Description
tag	No	String	Task tag. ECOMMERCE NEWS MARKETING
description	No	String	Description, which is displayed in the asset library.
sex	No	String	Voice gender, which can be male or female. FEMALE MALE
voice_name	No	String	Timbre name, which is used as the name of the timbre model asset in the asset library.
language	No	String	Training language. Currently, only Chinese is supported. CN: Chinese EN: English
phone	No	String	Mobile phone number
app_user_id	No	String	Third-party user ID

Status code: 400

**Table 4** Response body parameters
Parameter	Type	Description
error_code	String	Error code.
error_msg	String	Error description.

POST https://{endpoint}/v1/3f0924078d1b471c884a5383d4dec9fa/voice-training-manage/user/jobs/26f06524-4f75-4b3a-a853-b649a21aaf66

None

Status Code	Description
200	OK
400	Abnormal training parameters.

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