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Transcribe conversations in texts and with chronologically separated speeches.

Extract value from voice interactions with your customers

Dialog Transcription ensures accurate audio-to-text conversion using Speech Recognition (ASR/STT) technology, customizing and recognizing domain-specific terms and words. Thanks to the use of artificial intelligence, it automatically converts numbers, years, currencies, emails and much more, and allows the use of specific models trained to suit your business, considering scenarios such as: telephony and subtitles for videos.

Benefits

Add value to the customer relationship

Improve customer service performance and retain customers

The precision of the dialogue transcription provides inputs that are able to guide the continuous improvement of the service.

Allows you to recognize customers likely to abandon your services and identify the root of this dissatisfaction

Automated monitoring of attendances and call volume optimize the temby the attendants.

Differentials

Illustration Solution Interação Inteligente
Organization of telephone conversations in text format for auditing purposes
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Speech analytics and statistical analysis of conversation content
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Analysis of compliance with procedures in telephone conversations - monitoring
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Sorting conversations by topic or issue type
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Clustering for keyword searches “keyword spotting”
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Transcription of lectures, auditable meetings and hearings

Funcionalidades

1

Always identify what you need

To optimize processing, the systema identifies and eliminates noise and silent passages. In addition, it identifies each of the speakers, separating the textual content.

2

Speech free and organized in the correct order

It is not necessary to develop grammar for accurate recognition. Each dialogue is transcribed and arranged in the order in which it is spoken. At the temright, the right way.

3

Easy integration, inbound or outbound

The input files can have different formats: WAV, MP3, G729, WMA. The output files are exported in JSON (JavaScript Object Notation) format, which is easy to read and simple to integrate with systems.temexternal ones.

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