Audio Annotation Services – Sound & Speech Annotation
Audio sound or speech recorded in any format can be made understandable to machines through machine learning. NLP based speech recognition models, need annotated audio to make such sound more comprehensible to applications like a chatbot or virtual assistant devices. Cogito provides audio annotation service to recorded sounds or speech with added metadata to make the human – bot interaction more meaningful.
Sound Annotation for Speech Recognition
All types of sound recorded in audio files can be annotated with additional keynotes and suitable metadata. Cogito annotation team is capable to explore audio features and to annotate the corpus with audio information. Each word in the sound is carefully listened by the annotators to recognize the speech correctly with sound annotation service.
Speech Annotation for NLP in Machine Learning
The speech in an audio file containing the different words and sentences meant for the listeners. And making such phrases in the audio files recognizable to machines is possible when audio is annotated with especial data labeling technique. In NLP or NLU, machine algorithms for speech recognition need audio linguistic annotation to recognize such audios.
Audio Labeling & Annotation with Right Tool
Annotating a speech with the right technique is important for a truthful understanding of audio files and recorded sounds. Cogito operates with the best-in-class audio annotation tool used in the industry to annotate regions in them using the given labels. And Cogito uses the best audio annotation tool with right tagging using the ontology to understand the sound.
Why Cogito for Annotating Audio/Speech?
Cogito is refined with enriched experience in data annotation services to provide high-quality training data for machine learning and AI. For NLP, and speech recognition, it is also offering text annotation, NLP annotation service with expertise in image annotation service. Hence, while considering such mastery in annotation services, Cogito could be the best option for outsourcing audio annotation needs offering at best pricing.