Text of the conversation, with each utterance identified by agent or customer, is delivered via API to the destination end point of choice, seamlessly integrating to your existing environment. With exclusive focus on the contact center and the unique context of each customer ASAPP trains its AI models on the distinct language and acoustics of each business.ДЄutoTranscribe supports both live call streams and call recordings -plus redaction of personally identifiable information (PII) -via web socket or API. With Enterprises historically having to rely on legacy transcription technology that uses generic models and delivers poor accuracy, AutoTranscribe was built to deliver the most accurate transcription at the fastest speed. More organizations are tapping into the power of speech and speech-to-text to achieve a more holistic view of the CX, analyzing sources like agent notes, speech, social media, and survey feedback.вЂќ 1 They also help identify not only when and with what customers are struggling but also why - and at scale. They augment quality assurance teamsвЂ™ ability to coach agents and improve training.

We have a dedicated team of researchers who are 100% focused on building highly accurate and scalable solutions that are specific to the contact center.вЂќДЄccording to Forrester, вЂњAnalyzing the unstructured data of customer interactions over text or voice enables a number of use cases of interest to CX pros.

вЂњOur AutoTranscribe models are pushing the highest level of development in neural end-to-end ASR incorporating ASAPP-driven advances in architectures and training strategies. AutoTranscribe is designed to operate in a complex, noisy contact center environment at millisecond speeds with the highest real-time transcription accuracy in the industry,вЂќ said ASAPP Chief Scientist Ryan McDonald. вЂњASAPP has a dedicated team of natural language processing (NLP) and speech researchers who are advancing state-of-the art in automatic speech recognition (ASR) and task-oriented dialogue.

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