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High-quality training data is essential to improving generative AI, speech recognition and chatbots. Drawing on our experience in translation and transcription, ACCENT creates multilingual AI training data in Japanese, English and Asian languages.
| Corpus creation | Parallel texts and domain-specific text data for training |
|---|---|
| Transcription | Conversion of meetings, interviews and call-center audio into text, with speaker and timestamp information |
| Annotation | Labeling of text, images and audio with categories, named entities and other tags |
| Data cleansing | Removal of duplicates, errors and noise to make data ready for training |
| Speech data processing | Collection, segmentation and quality checks of audio for speech recognition engines |
| Output evaluation | Native-speaker review and scoring of AI translations and responses |
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