We can solve any business task that requires speech recognition, understanding and identification
We can solve any business task that requires speech recognition, understanding and identification
Embed speech recognition support in any application, service and bot.
Use advanced text analysis features to extract meaningful data, named entities, topics, facts, relationships, and keywords. Determine the sentiment of statements.
Increase the security and speed of service with the text-independent and highly accurate voice identification in any language.
Solutions for automating customer communication analysis and monitoring quality of service.
We will teach your voice robots and assistants to communicate in natural language
Use SOTA VOX Kit in your offline meeting and online conference transcription systems.
Create subtitles for TV shows, broadcasts, podcasts or videos.
Identify your clients by their voice in any language. Reduce customer identification time and minimize risks of fraud.
Give voice to your content: videos, audiobooks, manuals, website interface.
Text-independent voice biometrics module for identification and search of target voices in audio recordings
Text analytics engine (NLP|NLU) for understanding the meaning and extracting the necessary context-aware data
Intelligent speech recognition engine (ASR) with learning capability to improve accuracy
Flexible, secure and fast API
SOTA VOX Kit automatically puts punctuation marks in transcripts. Sentences and proper names begin with capital letters. As a result, it is easy to work with the text, and the transcript is as good in quality as a manually formatted text.
Stream mode allows you to process recordings in near real-time mode. Supports the MRCPv2 protocol.
Each transcript is automatically timestamped for each word, allowing you to quickly find the necessary fragments in the original audio recording or link subtitles to a timestamp
You can flexibly customize the list of words or phrases that will be removed from the transcript, such as obscene language, commercial information or personal data.
New words can be added to the basic dictionary to achieve the most accurate transcriptions of words and phrases related to a specific area, such as product names, technical terminology or names of individuals.
Automatic separation of speakers, for example in mono recordings, where both operator's and client's speech are recorded in one channel. Diarization improves significantly the quality of recognition and the convenience of further work with text transcription.