# Multichannel

The **Multichannel** method separates speakers based on each channel of the audio input. This is particularly useful in scenarios such as customer service calls, where different channels represent different speakers (e.g., channel 1 for the agent and channel 2 for the customer). 

**This method is highly recommended over** [**Diarization**](/speech-to-text/speaker-separation/diarization.md) **for its accuracy and efficiency.**

***

### Key Features

* **Use Case**: Ideal for structured audio inputs like customer service recordings, where different channels represent different speakers (e.g., channel 1 for the agent and channel 2 for the customer).
* **Accuracy**: High, as it directly uses separate channels for each speaker.
* **Performance**: Efficient and fast.
* **Recommendation**: Highly recommended over Diarization for applications where audio channels are clearly separated.

***

## Transcribing Multichannel Audio

### Required Parameters

1. **multichannel (boolean)**: Set `multichannel` to `true` to enable identify speakers based on each channel of the audio input.

### Example Request

```http
POST /v1/speech-to-text/${MODEL}/transcribe HTTP/1.1
Host: api.gowajee.ai
Content-Type: application/json
X-Api-Key: ${YOUR_API_KEY}

{
  "audioData": "base64_encoded_raw_audio_data",
  "multichannel": true
}

```

### Example Response

```json
{
  "type": "ASR_PULSE",
  "amount": 4.517,
  "output": {
    "results": [
      {
        "transcript": "วันนี้กินอะไรดี",
        "startTime": 0,
        "endTime": 4.517,
        "channel": 0
      },
      {
        "transcript": "พรุ่งนี้กินอะไรดี",
        "startTime": 0,
        "endTime": 4.517,
        "channel": 1
      }
    ],
    "duration": 4.517,
    "version": "2.2.0"
  }
}
```


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