VoxSigma
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About
Vocapia Research's VoxSigma software suite uses AI-powered speech processing technologies to extract information from multilingual audio data. It offers advanced features like audio segmentation, speaker diarization, language identification, and speech-to-text transcription. Available as on-premise software and a web service, VoxSigma caters to professional users needing to process large quantities of audio and video documents. It supports multiple languages and channels and offers customization services for specific needs. Applications include plenary transcription, avionics, VHF/UHF communications, telephone speech analytics, and broadcast monitoring.
Platform
Features
• multilingual support
• keyword search
• speaker diarization
• speech-to-text transcription
• language identification
• on-premise software, rest api service, gui service, customization service, user support
• speech-to-text alignment
• audio segmentation
FAQs
Can automatic speech recognition be used to transcribe unrestricted broadcast data?
Yes, but the speech recognition accuracy varies greatly depending upon a large number of factors, including the type of speech (from prepared to spontaneous speech and conversational speech) and the noise level.
Can automatic transcriptions be used the same way I process text?
Yes, the output of the VoxSigma software is an XML file that can be easily converted into plain punctuated text by discarding additional information such as word time-codes and word confidence scores.
How long it take to develop an ASR for a specific language?
It depends greatly on the available language resources for the specific language. It also depends on the type of speech data you want to process. We are supporting many languages, including Arabic, Cantonese, Czech, Dutch, English, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Italian, Latvian, Lithuanian, Mandarin, Pashto, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Swahili, Swedish, Turkish, Ukrainian and Urdu.
Do I need to configure the system vocabulary or grammar?
Vocapia Research LVCSR systems come with fully trained language models, so the only information you have to provide to the system is the language being spoken. If the language is not known, the language can be identified automatically (among 100 known languages) by using the VoxSigma language recognition software. A language identification system identifies the language being spoken from the speech signal.
How do I measure the accuracy of the automatic transcription?
First you need a speech data set representative of the targeted data along with a reference transcription. This data set must large enough to estimate an accuracy which statistically significant. It is common to use test sets with 3 to 5 hours of speech from at least 20 speakers. It is common practice to measure the word error rate (WER) instead of the accuracy as it is correlated with the cost of using the system. The WER is defined as the ratio between the sum of the substitutions, insertions, and deletion, divided by the total number of word in the reference word. You can use the NIST sclite software to perform the alignment between the reference words and hypothesized words and compute the WER and to analyze the errors.
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