Use case
Audio tasks
From virtual assistants to real-time translation, power your GenAI audio innovations with accurately labeled data from Labelbox
Why Labelbox for audio transcription
Increase data quality
Generate high-quality, diverse datasets by combining advanced tooling, humans, AI, and on-demand services in a unified solution.
Deliver accurate audio transcriptions
Ensure your audio transcriptions are accurate, consistent, and tailored to your specific GenAI application with advanced tools.
Access on-demand expertise
Embrace on-demand, highly-skilled labeling services, creative writing support, and industry-specific insights that can scale with your business needs.
Collaborate in real-time
Enjoy direct access to internal and external labelers with real-time feedback on labels and quality via Labelbox platform.
The importance of precise audio transcription
Accurate audio transcription unlocks the wealth of information hidden within spoken language. From customer service interactions and meeting recordings to podcasts and educational content, transcribed audio data helps us gain valuable insights, improve accessibility, and drive innovation.
Overcoming audio transcription challenges
Transcribing audio data can be complex and time-consuming, especially when dealing with diverse accents, dialects, background noise, and technical jargon. As language continuously evolves, we also need a proven process to help continuously train models on the latest neologisms.
Refine audio transcription with Labelbox
Labelbox provides the tools and expertise to simplify the process of capturing audio details, from spoken words and intonations to background noise and non-verbal cues. Use our intuitive interface, customizable features, and on-demand labeling services to generate high-quality transcripts quickly.
Customer spotlight
Dialpad, a leading AI-powered customer intelligence platform company used fine-tuning to build a powerful LLM over five years via five billion minutes of business conversations. The model offers out of the box capabilities to businesses to accurately summarize business calls, extract important insights and offer in-the-moment coaching to sellers and customer reps. Advanced discovery, curation, and annotation capabilities were crucial for building high-quality training datasets. Human evaluation was also critical to ensure quality outcomes before the system was turned live. Labelbox enabled this organization to accelerate the creation of the LLM by 75% through rich, integrated capabilities for data preparation and human evaluation.
