Speech Transcription and Audio Quality Evaluation for AI Training
Internal Proprietary ToolingAudioText GenerationEmotion Recognition
Worked on speech-to-text evaluation and audio annotation tasks to improve automatic speech recognition (ASR) systems. Transcribed multilingual audio samples with high accuracy, ensuring correct punctuation, speaker clarity, and contextual consistency.
Reviewed audio outputs for pronunciation errors, background noise impact, and alignment between spoken and transcribed text. Rated audio quality and categorized recordings based on clarity, speaker intent, and emotional tone.
Maintained strict quality standards while handling diverse accents and varying audio conditions to support robust AI model training.
Worked on speech-to-text evaluation and audio annotation tasks to improve automatic speech recognition (ASR) systems. Transcribed multilingual audio samples with high accuracy, ensuring correct punctuation, speaker clarity, and contextual consistency. Reviewed audio outputs for pronunciation errors, background noise impact, and alignment between spoken and transcribed text. Rated audio quality and categorized recordings based on clarity, speaker intent, and emotional tone. Maintained strict quality standards while handling diverse accents and varying audio conditions to support robust AI model training.
2024 - 2025