Natural language processing (NLP) can make your machines understand speech patterns and recognize voice to make bot interactions more meaningful. NLP-based algorithms are used to process, analyze, and provide valuable output for seamless voice datasets. This ensures high-precision and high-quality annotation outputs.
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From audio files to audio classification, each sound is perfectly transcribed to form accurate datasets for specific user needs.
Such services allow you to identify speakers, adjust timestamps for high composability with human intervention, and reduce TAT.
Our annotation services, including review and annotation of audio files, are not just applicable for big B2B organizations, but also for small businesses and medium enterprises.
Large files are queued and organized in a streamlined manner and annotated based on priority with human intervention on a tech-integrated platform.
Our workforce, with AI-assisted technology, will identify, segregate, and interpret data to determine gender, age, emotion, and more.
We allow our audio annotation to feed various inputs so that it can understand the difference between various contexts in the language, speech, and tone.
Our system collects data to store, interpret, and train chatbots and conversational agents through an audio interface.
We deliver quick, easy, and precise extraction as the final outcome with human intervention at each process workflow.
