Babel Audio Trainer
Internal Proprietary ToolingAudioRelationshipClassification
Worked on an audio-focused data labeling project aimed at improving conversational AI systems.
Tasks included recording and reviewing audio samples, transcribing spoken content, classifying intents and emotional tone, and answering context-based questions related to the audio.
The project required high attention to linguistic accuracy, consistency, and quality standards. Quality checks were performed through multi-step reviews and guideline adherence to ensure reliable training data for AI models.
The dataset was used to enhance speech recognition, emotion detection, and natural language understanding for multilingual conversational systems.
Worked on an audio-focused data labeling project aimed at improving conversational AI systems. Tasks included recording and reviewing audio samples, transcribing spoken content, classifying intents and emotional tone, and answering context-based questions related to the audio. The project required high attention to linguistic accuracy, consistency, and quality standards. Quality checks were performed through multi-step reviews and guideline adherence to ensure reliable training data for AI models. The dataset was used to enhance speech recognition, emotion detection, and natural language understanding for multilingual conversational systems.
2025 - 2025