---
language:
- bn
pretty_name: Bengali Telecom Customer Care Synthetic Speech
tags:
- audio
- speech
- bengali
- bangla
- customer-care
- telecom
- telecommunication
- telco
- synthetic
- tts
- stt
- text-to-speech
- speech-to-text
- automatic-speech-recognition
task_categories:
- text-to-speech
- speech-to-text
- automatic-speech-recognition
license: cc-by-4.0
---

# Bengali Telecom Customer Care Synthetic Speech Dataset

## Dataset Description

This dataset contains synthetic Bengali speech generated from telecom and customer-care style text prompts.

The dataset is intended for experiments with:

- Bengali ASR/STT
- Bengali TTS
- Speech-to-text preprocessing
- Telecom/customer-care domain adaptation
- Synthetic speech research

## Important Disclosure

This is a synthetic speech dataset generated using a TTS system.

It does not contain real customer-care recordings, real customer conversations, or real user audio.

## Dataset Size

Total examples: 10000

Approximate total duration: 26.82 hours

Sample rate: 24000 Hz

Splits:

| Split | Examples |
|---|---:|
| Train | 9000 |
| Validation | 500 |
| Test | 500 |

## Dataset Structure

```text
bengali-telecom-customer-care-speech/
└── data/
    ├── train/
    │   ├── metadata.jsonl
    │   └── audios/
    ├── validation/
    │   ├── metadata.jsonl
    │   └── audios/
    └── test/
        ├── metadata.jsonl
        └── audios/
```

Each metadata row contains:

```json
{
  "file_name": "audios/example.wav",
  "text": "Original Bengali text.",
  "text_normalized": "Normalized Bengali text.",
  "language": "bn",
  "is_synthetic": true,
  "sample_rate": 24000,
  "duration_sec": 5.32
}
```

## Field Descriptions

| Field | Description |
|---|---|
| `file_name` | Relative path to the audio file |
| `text` | Original Bengali text used for TTS generation |
| `text_normalized` | Normalized Bengali text suitable for ASR/STT training |
| `language` | Language code, `bn` for Bengali |
| `is_synthetic` | Whether the sample is synthetic |
| `sample_rate` | Audio sample rate |
| `duration_sec` | Audio duration in seconds |

## Intended Use

For TTS training, use:

```text
text -> audio
```

For ASR/STT training, use:

```text
audio -> text_normalized
```

## Limitations

Because this dataset is synthetic, models trained only on this dataset may not fully generalize to real-world speech, noisy phone calls, spontaneous conversation, different microphones, real accents, or background noise.

For production-quality ASR or TTS, this dataset should ideally be combined with real human-recorded Bengali speech.

## License

License: `cc-by-4.0`

## Prepared By
- Kawshik Kumar Paul  
  Dept of CSE, BUET  
  kawshikbuet17@gmail.com
- Nafiul Alam Fuji  
  Dept of CSE, BUET  
  nafiul.fuji@gmail.com