Audio annotation for AI
Audio annotation is a type of data labeling covering the classification of sounds - whether they are human, music, animal, or environmental. This data annotation type is essential for building accurate natural language processing (NLP) models for a wide range of speech-based solutions including automated speech recognition (ASR), chatbots, digital assistants and in-car systems.
With increasing customer expectations when it comes to the speed and
quality of customer service, including engagement with voice AI devices,
the quality of the data used to train Conversational AI has, in turn, become increasingly critical.
LXT for audio annotation
Our audio annotation services include:
Acoustic noise annotation
Natural language annotation (e.g. dialect labeling)
Offensive language identification
Event tracking and timestamping
Multi-label non-speech audio annotation
With the accelerating volumes of data created daily and the number of potential threats on the rise, security is an increasing area of concern for organizations across all industries. Our platform and processes are designed to ensure the security of your data.
To meet the most stringent security requirements, our facilities are
ISO 27001-certified and PCI DSS compliant. We also offer supervised transcription within a secure facility to safeguard your data. We will work closely with you to design a secure solution that meets your needs.