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Meta STT EN-IN Tech Interviews
Indian English speech recognition dataset sourced from technical interviews, annotated with rich speech metadata including age group, gender, emotion, and intent. Designed for training multi-task ASR models that jointly predict transcriptions and speaker attributes.
Dataset Details
| Property | Value |
|---|---|
| Train examples | 58,000 |
| Validation examples | 1,204 |
| Language | English (Indian accent) |
| Audio | 16 kHz |
| Total size | ~28 GB |
Features
| Column | Type | Description |
|---|---|---|
| Audio | Audio waveform at 16 kHz | |
| string | Original file path | |
| string | Transcription | |
| float32 | Audio duration in seconds | |
| string | Source recording identifier | |
| string | Speaker age group | |
| string | Speaker gender | |
| string | Detected emotion | |
| string | Utterance intent |
Use Cases
- Indian English ASR: Train models robust to Indian English accents and pronunciation
- Speaker profiling: Age group and gender classification from speech
- Emotion recognition: Detect speaker emotions in professional/interview settings
- Multi-task ASR: Joint transcription + metadata prediction in a single model pass
License
Whissle Inference-Only License 1.0. See LICENSE file for full terms.
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