Audio Annotation
Accurate Audio Annotation That Powers Better AI
Training speech recognition, NLP tools, or sound classification systems? We deliver precise audio annotation to help your models perform at their best.
From speech and ambient sounds to multi-speaker conversations, we handle segmentation, tagging, and classification with expert care—tailored to your project’s exact needs.
No matter the scale, we maintain high annotation quality through every step, so you get consistent, reliable data without the hassle. Let us manage the details while you focus on innovation.
Audio Data Annotation for AI Baby Monitor Device
DeeLab labeled audio data for a baby product retailer, enabling the development of an AI-powered baby monitor. This ensured accurate sound detection, a quicker launch, and more reliable performance for parents.
What is Audio Labeling?
Audio labeling is the process of assigning tags or categories to audio recordings. This might include labeling a clip as “speech”, “music”, “dog bark”, “baby crying”, or “background noise”. It helps machine learning models classify and understand different types of sounds.
What is Audio Annotation?
Audio annotation involves adding more detailed information to specific segments of an audio file. This can include:
Timestamping when a sound occurs
Transcribing speech word-for-word
Identifying speakers (speaker diarization)
Marking sound events (e.g., door slam, baby cry)
Both are critical for training audio AI systems such as virtual assistants, transcription tools, emotion detection, and sound event detection in surveillance or smart home devices.
Learn Audio Labeling!
Audio Labeling Essentials
DeeLab Academy combines theoretical knowledge with hands-on exercises and examples, equipping participants to confidently apply their skills in professional settings.
Shall We Have a Call?
The best way to embark on your annotation journey is by scheduling a free Discovery Call with us. In this brief 30-minute session, our experts will understand your project requirements, discuss your goals, and provide tailored guidance on the next steps.
Book your call today
And explore the possibilities of working together! It’s the first step towards unlocking the full potential of your data.
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Audio Data Annotation for AI Baby Monitor Device
DeeLab labeled audio data for a baby product retailer, enabling the development of an AI-powered baby monitor. This ensured accurate sound detection, a quicker launch, and more reliable performance for parents.
Methods of Labeling Audio Data
The need for labeled audio data in AI and ML has grown, making it necessary to use special methods like classification, segmentation, and transcription. These methods play a key role in understanding and interpreting complex layers of sound.
Human-in-the-Loop in Audio Labeling
Human-in-the-Loop (HITL) audio labeling combines AI and human expertise to improve accuracy. AI models label audio, while human annotators correct errors, enhancing training. This cycle boosts efficiency, adaptability, and quality in large-scale projects.
A Closer Look at the Labelbox Audio Labeling Tool
Labelbox is a popular tool designed for labeling data, providing precision and ease for businesses working on algorithm training. It’s convenient to use and performs well overall. Having finished an audio labeling project using Labelbox, we are excited to share our thoughts.
The Role of Audio Annotation in AI Projects
Audio annotation is vital for AI projects, covering phases from understanding goals to quality assurance. DeeLab Academy supports annotators with ongoing training to keep up with new methods and tools.
