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# 转录多声道音频
如果您的音频有两个声道，则可以使用频道标识来分别转录每个声道的语音。 Amazon Transcribe目前不支持超过两个声道的音频。
在您的转录中，声道被分配了标签 `ch_0` 和 `ch_1`。
除了[标准转录部分](how-input.md#how-it-works-output)（`transcripts` 和 `items`）之外，启用声道识别的请求还包括一个 `channel_labels` 部分。本节包含按声道分组的每个言语或标点符号，以及与之相关的声道标签、时间戳和置信度分数。
```
"channel_labels": {
"channels": [
{
"channel_label": "ch_0",
"items": [
{
"channel_label": "ch_0",
"start_time": "4.86",
"end_time": "5.01",
"alternatives": [
{
"confidence": "1.0",
"content": "I've"
}
],
"type": "pronunciation"
},
...
"channel_label": "ch_1",
"items": [
{
"channel_label": "ch_1",
"start_time": "8.5",
"end_time": "8.89",
"alternatives": [
{
"confidence": "1.0",
"content": "Sorry"
}
],
"type": "pronunciation"
},
...
"number_of_channels": 2
},
```
如果一个声道上的某个人与另一个声道上的一个人同时说话，则当这些人互相交谈时，每个声道的时间戳会重叠。
要查看带有声道识别的完整示例转录，请参阅[声道识别输出示例（批量转录）](channel-id-output-batch.md)。
## 在批量转录中使用声道识别
要识别批量转录中的频道，可以使用**AWS 管理控制台**AWS CLI****、或 **AWSSDKs**；有关示例，请参阅以下内容：
### AWS 管理控制台
1. 登录到 [AWS 管理控制台](https://console.aws.amazon.com/transcribe/)。
1. 在导航窗格中，选择**转录作业**，然后选择**创建作业**（右上角）。这将打开**指定作业详细信息**页面。
![\[Amazon Transcribe控制台 “指定任务详细信息” 页面。在“作业设置”面板中，您可以为转录作业指定名称，选择模型类型并指定语言设置。\]](http://docs.aws.amazon.com/zh_cn/transcribe/latest/dg/images/console-batch-job-details-1.png)
1. 在**指定作业详细信息**页面上填写要包含的任何字段，然后选择**下一步**。此时您将会看到**配置作业 - *可选***页面。
在**音频设置**面板中，选择**声道识别**（在“音频识别类型”标题下）。
![\[Amazon Transcribe控制台 “配置作业” 页面。在“音频设置”面板中，您可以启用声道识别。\]](http://docs.aws.amazon.com/zh_cn/transcribe/latest/dg/images/channel-id-batch.png)
1. 选择**创建作业**以运行您的转录作业。
### AWS CLI
此示例使用 [start-transcription-job](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-transcription-job.html)。有关更多信息，请参阅 [https://docs.aws.amazon.com/transcribe/latest/APIReference/API_StartTranscriptionJob.html](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_StartTranscriptionJob.html)。
```
aws transcribe start-transcription-job \
--region us-west-2 \
--transcription-job-name my-first-transcription-job \
--media MediaFileUri=s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac \
--output-bucket-name amzn-s3-demo-bucket \
--output-key my-output-files/ \
--language-code en-US \
--settings ChannelIdentification=true
```
以下是另一个使用[start-transcription-job](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/transcribe/start-transcription-job.html)命令的示例，以及一个通过该任务启用频道识别的请求正文。
```
aws transcribe start-transcription-job \
--region us-west-2 \
--cli-input-json file://my-first-transcription-job.json
```
*my-first-transcription-job.json* 文件包含以下请求正文。
```
{
"TranscriptionJobName": "my-first-transcription-job",
"Media": {
"MediaFileUri": "s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac"
},
"OutputBucketName": "amzn-s3-demo-bucket",
"OutputKey": "my-output-files/",
"LanguageCode": "en-US",
"Settings": {
"ChannelIdentification": true
}
}
```
### 适用于 Python (Boto3) 的 AWS SDK
此示例使用 [start\$1transcription\$1](https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/transcribe.html#TranscribeService.Client.start_transcription_job) job 方法来识别频道。适用于 Python (Boto3) 的 AWS SDK有关更多信息，请参阅 [StartTranscriptionJob](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_StartTranscriptionJob.html)。
```
from __future__ import print_function
import time
import boto3
transcribe = boto3.client('transcribe', 'us-west-2')
job_name = "my-first-transcription-job"
job_uri = "s3://amzn-s3-demo-bucket/my-input-files/my-media-file.flac"
transcribe.start_transcription_job(
TranscriptionJobName = job_name,
Media = {
'MediaFileUri': job_uri
},
OutputBucketName = 'amzn-s3-demo-bucket',
OutputKey = 'my-output-files/',
LanguageCode = 'en-US',
Settings = {
'ChannelIdentification':True
}
)
while True:
status = transcribe.get_transcription_job(TranscriptionJobName = job_name)
if status['TranscriptionJob']['TranscriptionJobStatus'] in ['COMPLETED', 'FAILED']:
break
print("Not ready yet...")
time.sleep(5)
print(status)
```
## 在流式转录中使用声道识别
要识别直播转录中的频道，可以使用 **HTTP/2** 或 **WebSockets**；有关示例，请参阅以下内容：
### HTTP/2 音频流
此示例创建了一个 HTTP/2 请求，用于区分转录输出中的声道。有关使用 HTTP/2 流式传输的更多信息Amazon Transcribe，请参阅。[设置 HTTP/2 音频流](streaming-setting-up.md#streaming-http2)有关特定于 Amazon Transcribe 的参数和标题的更多详细信息，请参阅 [StartStreamTranscription](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartStreamTranscription.html)。
```
POST /stream-transcription HTTP/2
host: transcribestreaming.us-west-2.amazonaws.com
X-Amz-Target: com.amazonaws.transcribe.Transcribe.StartStreamTranscription
Content-Type: application/vnd.amazon.eventstream
X-Amz-Content-Sha256: string
X-Amz-Date: 20220208T235959Z
Authorization: AWS4-HMAC-SHA256 Credential=access-key/20220208/us-west-2/transcribe/aws4_request, SignedHeaders=content-type;host;x-amz-content-sha256;x-amz-date;x-amz-target;x-amz-security-token, Signature=string
x-amzn-transcribe-language-code: en-US
x-amzn-transcribe-media-encoding: flac
x-amzn-transcribe-sample-rate: 16000
x-amzn-channel-identification: TRUE
transfer-encoding: chunked
```
参数定义可在 [API 参考](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_Reference.html)中找到；所有 AWS API 操作的通用参数列在[常用参数](https://docs.aws.amazon.com/transcribe/latest/APIReference/CommonParameters.html)部分中。
### WebSocket 直播
此示例创建了一个预签名 URL，用于区分转录输出中的声道。为了便于阅读，已增加了换行符。有关将 WebSocket 直播与配合使用的更多信息Amazon Transcribe，请参阅[设置直 WebSocket 播](streaming-setting-up.md#streaming-websocket)。有关参数的更多详细信息，请参阅 [https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartStreamTranscription.html](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_streaming_StartStreamTranscription.html)。
```
GET wss://transcribestreaming.us-west-2.amazonaws.com:8443/stream-transcription-websocket?
&X-Amz-Algorithm=AWS4-HMAC-SHA256
&X-Amz-Credential=AKIAIOSFODNN7EXAMPLE%2F20220208%2Fus-west-2%2Ftranscribe%2Faws4_request
&X-Amz-Date=20220208T235959Z
&X-Amz-Expires=300
&X-Amz-Security-Token=security-token
&X-Amz-Signature=string
&X-Amz-SignedHeaders=content-type%3Bhost%3Bx-amz-date
&language-code=en-US
&specialty=PRIMARYCARE
&type=DICTATION
&media-encoding=flac
&sample-rate=16000
&channel-identification=TRUE
```
参数定义可在 [API 参考](https://docs.aws.amazon.com/transcribe/latest/APIReference/API_Reference.html)中找到；所有 AWS API 操作的通用参数列在[常用参数](https://docs.aws.amazon.com/transcribe/latest/APIReference/CommonParameters.html)部分中。
# 声道识别输出示例（批量转录）
以下是启用声道识别的批量转录的输出示例。
```
{
"jobName": "my-first-transcription-job",
"accountId": "111122223333",
"results": {
"transcripts": [
{
"transcript": "I've been on hold for an hour. Sorry about that."
}
],
"channel_labels": {
"channels": [
{
"channel_label": "ch_0",
"items": [
{
"channel_label": "ch_0",
"start_time": "4.86",
"end_time": "5.01",
"alternatives": [
{
"confidence": "1.0",
"content": "I've"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "5.01",
"end_time": "5.16",
"alternatives": [
{
"confidence": "1.0",
"content": "been"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "5.16",
"end_time": "5.28",
"alternatives": [
{
"confidence": "1.0",
"content": "on"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "5.28",
"end_time": "5.62",
"alternatives": [
{
"confidence": "1.0",
"content": "hold"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "5.62",
"end_time": "5.83",
"alternatives": [
{
"confidence": "1.0",
"content": "for"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "6.1",
"end_time": "6.25",
"alternatives": [
{
"confidence": "1.0",
"content": "an"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"start_time": "6.25",
"end_time": "6.87",
"alternatives": [
{
"confidence": "1.0",
"content": "hour"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_0",
"language_code": "en-US",
"alternatives": [
{
"confidence": "0.0",
"content": "."
}
],
"type": "punctuation"
}
]
},
{
"channel_label": "ch_1",
"items": [
{
"channel_label": "ch_1",
"start_time": "8.5",
"end_time": "8.89",
"alternatives": [
{
"confidence": "1.0",
"content": "Sorry"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_1",
"start_time": "8.89",
"end_time": "9.06",
"alternatives": [
{
"confidence": "0.9176",
"content": "about"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_1",
"start_time": "9.06",
"end_time": "9.25",
"alternatives": [
{
"confidence": "1.0",
"content": "that"
}
],
"type": "pronunciation"
},
{
"channel_label": "ch_1",
"alternatives": [
{
"confidence": "0.0",
"content": "."
}
],
"type": "punctuation"
}
]
}
],
"number_of_channels": 2
},
"items": [
{
"id": 0,
"channel_label": "ch_0",
"start_time": "4.86",
"end_time": "5.01",
"alternatives": [
{
"confidence": "1.0",
"content": "I've"
}
],
"type": "pronunciation"
},
{
"id": 1,
"channel_label": "ch_0",
"start_time": "5.01",
"end_time": "5.16",
"alternatives": [
{
"confidence": "1.0",
"content": "been"
}
],
"type": "pronunciation"
},
{
"id": 2,
"channel_label": "ch_0",
"start_time": "5.16",
"end_time": "5.28",
"alternatives": [
{
"confidence": "1.0",
"content": "on"
}
],
"type": "pronunciation"
},
{
"id": 3,
"channel_label": "ch_0",
"start_time": "5.28",
"end_time": "5.62",
"alternatives": [
{
"confidence": "1.0",
"content": "hold"
}
],
"type": "pronunciation"
},
{
"id": 4,
"channel_label": "ch_0",
"start_time": "5.62",
"end_time": "5.83",
"alternatives": [
{
"confidence": "1.0",
"content": "for"
}
],
"type": "pronunciation"
},
{
"id": 5,
"channel_label": "ch_0",
"start_time": "6.1",
"end_time": "6.25",
"alternatives": [
{
"confidence": "1.0",
"content": "an"
}
],
"type": "pronunciation"
},
{
"id": 6,
"channel_label": "ch_0",
"start_time": "6.25",
"end_time": "6.87",
"alternatives": [
{
"confidence": "1.0",
"content": "hour"
}
],
"type": "pronunciation"
},
{
"id": 7,
"channel_label": "ch_0",
"alternatives": [
{
"confidence": "0.0",
"content": "."
}
],
"type": "punctuation"
},
{
"id": 8,
"channel_label": "ch_1",
"start_time": "8.5",
"end_time": "8.89",
"alternatives": [
{
"confidence": "1.0",
"content": "Sorry"
}
],
"type": "pronunciation"
},
{
"id": 9,
"channel_label": "ch_1",
"start_time": "8.89",
"end_time": "9.06",
"alternatives": [
{
"confidence": "0.9176",
"content": "about"
}
],
"type": "pronunciation"
},
{
"id": 10,
"channel_label": "ch_1",
"start_time": "9.06",
"end_time": "9.25",
"alternatives": [
{
"confidence": "1.0",
"content": "that"
}
],
"type": "pronunciation"
},
{
"id": 11,
"channel_label": "ch_1",
"alternatives": [
{
"confidence": "0.0",
"content": "."
}
],
"type": "punctuation"
}
],
"audio_segments": [
{
"id": 0,
"transcript": "I've been on hold for an hour.",
"start_time": "4.86",
"end_time": "6.87",
"channel_label": "ch_0",
"items": [
0,
1,
2,
3,
4,
5,
6,
7
]
},
{
"id": 1,
"transcript": "Sorry about that.",
"start_time": "8.5",
"end_time": "9.25",
"channel_label": "ch_1",
"items": [
8,
9,
10,
11
]
}
]
},
"status": "COMPLETED"
}
```