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Use case

Audio tasks

From multi-turn conversations to real-time translation, advance your GenAI audio capabilities with unique training data from Labelbox Platform and Labelbox Labeling Services

Audio tasks

Why Labelbox for audio transcription

Generate high-quality data
Generate high-quality data

Generate high-quality data by combining advanced tooling, human expertise, AI, and on-demand services in a unified solution.

Deliver accurate audio transcriptions
Deliver accurate audio transcriptions

Ensure your audio transcriptions are accurate, consistent, and tailored to your specific GenAI application with advanced tools.

Evaluate multi-turn audio conversations
Evaluate multi-turn audio conversations

Access on-demand, highly-skilled labeling services to evaluate and test AI models through multi-turn conversations. 

Collaborate in real-time
Collaborate in real-time

Enjoy direct access to internal and external labelers with real-time feedback on labels and quality via the Labelbox platform.

The importance of audio to AI’s future
Overview

The importance of audio to AI’s future

Audio tasks are rapidly becoming critical in the evolution of AI, as voice interfaces and audio-driven insights transform how humans interact with technology. From audio transcriptions to improving text-to-speech systems to discerning speaker intent, training AI with high-quality data to understand and generate nuanced audio will differentiate the next wave of leading frontier models. 

Navigating audio’s nuances for AI
Challenges

Navigating audio’s nuances for AI

Unlocking the potential of audio in frontier AI models requires overcoming unique hurdles. Audio's inherent complexity—from diverse acoustic environments and evolving language to subtle nuances of speech—requires a different approach than visual or text-based models. Success hinges on robust platforms, skilled trainers, and continuous human evaluation.

Unleash the power of audio with Labelbox
Solution

Unleash the power of audio with Labelbox

Labelbox empowers AI teams to address audio data complexities and build exceptional training data. Our platform offers built-in AI features to automate text-to-speech translation within our dedicated audio editor. Access our global network of AI trainers, who are diverse in language and culture, to ensure diverse, globally relevant datasets.

Customer spotlight

Labelbox's intuitive tooling coupled with post-training labeling services offered a collaborative environment where Speak's internal team, along with external data annotators, could work together seamlessly. Learn more about how Speak uses Labelbox to improving the quality and efficiency of their data labeling.

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Diverse frontier audio use cases

Analyzing multi-turn audio conversations
Analyzing multi-turn audio conversations

Annotate multi-turn audio conversations in real-time, capturing classifications and ratings for each turn.

Evaluating audio-to-text & text-to-audio
Evaluating audio-to-text & text-to-audio

Assess performance of AI assistants in audio-based conversations through detailed evaluation metrics and classifications.

Labeling voice characteristics and quality
Labeling voice characteristics and quality

Annotate short audio clips for speaker characteristics like accent, age, gender, and overall audio quality.

Identifying temporal sentiment
Identifying temporal sentiment

Map specific vocal expressions and sentiments to precise time segments within audio recordings for detailed analysis.

Curating custom music or speech datasets
Curating custom music or speech datasets

Access fully licensed, high-quality music and speech datasets sourced directly by Labelbox to be used in AI systems.

Performing real-time audio transcription
Performing real-time audio transcription

Process live audio streams to provide instant translations into any target language for cross-lingual communication.