Vocapia

Vocapia is a provider of speech-to-text software and services, a flagship of them being the VoxSigma software suite. It caters to several applications including broadcast monitoring, seminar transcription, video subtitling, conference call transcription, and speech analytics. Leveraging advanced AI and machine learning methods, the platform allows large vocabulary continuous speech recognition, automatic audio segmentation, language identification, speaker diarization, and audio-text synchronization. The VoxSigma suite is widely applicable to multiple language types and diverse audio data types, including broadcast data, parliamentary hearings, and conversational data. It is designed for professional users seeking to transcribe considerable volumes of audio and video documents, either in batch mode or real-time, with specific versions created for transcribing conversational telephone speech and call-center data. The suite also provides transcription, audio indexing, and speech-text alignment capabilities via a REST API as a web service with the VoxSigma SaaS. This technology enables content-based information access in audio and video documents resulting in optimized downstream processing and direct access to relevant portions of audio documents. Additionally, the software supports language identification from a set of 82 languages, audiovisual data mining, speech analytics, and media asset management.

Tags: speech-to-text, speech-recognition, transcription, audio-segmentation, language-identification, speaker-diarization

Category: speech to text

Pricing: free

Vocapia
NEW
speech to text

Vocapia

Vocapia is a provider of speech-to-text software and services, a flagship of them being the VoxSigma software suite.

It caters to several applications including broadcast monitoring, seminar transcription, video subtitling, conference call transcription, and speech analytics.

View more details in the About section below...

Views
100+
Rating
0.0/5.0
Votes
17
Reviews
0

Vocapia is a provider of speech-to-text software and services, a flagship of them being the VoxSigma software suite.

It caters to several applications including broadcast monitoring, seminar transcription, video subtitling, conference call transcription, and speech analytics.

Leveraging advanced AI and machine learning methods, the platform allows large vocabulary continuous speech recognition, automatic audio segmentation, language identification, speaker diarization, and audio-text synchronization.

The VoxSigma suite is widely applicable to multiple language types and diverse audio data types, including broadcast data, parliamentary hearings, and conversational data.

It is designed for professional users seeking to transcribe considerable volumes of audio and video documents, either in batch mode or real-time, with specific versions created for transcribing conversational telephone speech and call-center data.

The suite also provides transcription, audio indexing, and speech-text alignment capabilities via a REST API as a web service with the VoxSigma SaaS.

This technology enables content-based information access in audio and video documents resulting in optimized downstream processing and direct access to relevant portions of audio documents.

Additionally, the software supports language identification from a set of 82 languages, audiovisual data mining, speech analytics, and media asset management.

Key Benefits

Multiple language recognition
Large vocabulary continuous speech recognition
Real
time and batch modes
Audio segmentation capabilities
Partitioning capabilities
Speaker identification
Language identification
Web service availability
REST Speech
to
Text API
Full speech transcription
Audio indexing
Speech

Use Cases

speech-to-text
speech-recognition
transcription
audio-segmentation
language-identification
speaker-diarization

Highlights

Multiple language recognition
Large vocabulary continuous speech recognition
Real
time and batch modes

Tags

speech-to-text
speech-recognition
transcription
audio-segmentation
language-identification
speaker-diarization