Comprehensive Audio Annotation and Transcription for Call Center Data

Client's Challenge & Our Solution

A prominent client sought FutureBeeAI’s expertise to annotate and transcribe an existing dataset of 50 hours of real-world call center audio in Tagalog, Australian English, and Indonesian. The project aimed to transcribe the audio segment-wise while classifying each segment by intent and sentiment.

Our team employed a detailed approach, ensuring accurate transcription and insightful annotations that categorized each segment effectively. This allowed the client to gain valuable insights into customer interactions across multiple languages.

Outcome & Features:

Successfully annotated and transcribed 150 hours of audio across three languages.

Provided intent and sentiment classification for each segment, enhancing the client's understanding of customer interactions.

Delivered high-quality, structured data to support improved customer service analytics within 1 month.