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Today we release our first self-hosted Auphonic Speech Recognition Engine using the open-source Whisper model by OpenAI!
With Whisper, you can now integrate automatic speech recognition in 99 languages into your Auphonic audio post-production workflow, without creating an external account and without extra costs!

Whisper Speech Recognition in Auphonic

So far, Auphonic users had to choose one of our integrated external service providers (Wit.ai, Google Cloud Speech, Amazon Transcribe, Speechmatics) for speech recognition, so audio files were transferred to an external server, using external computing powers, that users had to pay for in their external accounts.

The new Auphonic Speech Recognition is using Whisper, which was published by OpenAI as an open-source project. Open-source means, the publicly shared GitHub repository contains a complete Whisper package including source code, examples, and research results.
However, automatic speech recognition is a very time and hardware-consuming process, that can be incredibly slow using a standard home computer without special GPUs. So we decided to integrate this service and offer you automatic speech recognition (ASR) by Whisper processed on our own hardware, just like any other Auphonic processing task, giving you quite some benefits:

• No external account is needed anymore to run ASR in Auphonic.
• Your data doesn't leave our Auphonic servers for ASR processing.
• No extra costs for external ASR services.
• Additional Auphonic pre- and post-processing for more accurate ASR, especially for Multitrack Productions.
• The quality of Whisper ASR is absolutely comparable to the “best” services in our comparison table.

How to use Whisper?

To use the Auphonic Whisper integration, you just have to create a production or preset as you are used to and select “Auphonic Whisper ASR” as “Service” in the section Speech Recognition.
This option will automatically appear for Beta and paying users. If you are a free user but want to try Whisper: please just ask for access!

When your Auphonic speech recognition is done, you can download your transcript in different formats and may edit or share your transcript with the Auphonic Transcript Editor.
For more details about all our integrated speech recognition services, please visit our Speech Recognition Help and watch this channel for Whisper updates – soon to come.

Why Beta?

We decided to launch Whisper for Beta and paying users only, as Whisper was just published end of September and there was not enough time to test every single use case sufficiently.
Another issue is the required computing power: for suitable scaling of the GPU infrastructure, we need a beta phase to test the service while we are monitoring the hardware usage, to make sure there are no server overloads.

Conclusion

Automatic speech recognition services are evolving very quickly, and we've seen major improvements over the past few years.
With Whisper, we can now perform speech recognition without extra costs on our own GPU hardware, no external services are required anymore.

Auphonic Whisper ASR is available for Beta and paying users now, free users can ask for Beta access.
You are very welcome to send us feedback (directly in the production interface or via email), whether you notice something that works particularly well or discover any problems.
Your feedback is a great help to improve the system!

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The OSCE Mission to Skopje in close cooperation with the French Embassy is organizing on-site training courses on face recognition for border police officers countrywide. These half-day trainings, to be conducted by a French trainer, will help the border police officers detect impostors and prevent illegal use of documents in order to detect returning freedom-fighters and tackle the phenomenon of cross-border criminality more effectively, especially trans-national organized crime activity, human trafficking and human smuggling.
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Improving the situation of Roma in Ukraine by enhancing co-operation between Roma civil society organizations and national and regional authorities was the focus of a roundtable meeting organized by the OSCE Office for Democratic Institutions and Human Rights (ODIHR) and the Ministry of Culture of Ukraine in Kyiv on 24 November 2015.

Some 40 participants from Ukrainian national and regional authorities, Roma civil society and the international community, discussed the challenges faced by Roma in the areas of education, employment, housing and policing.

“Further efforts are needed to implement a strong anti-discrimination approach in all policies targeting the integration and protection of Roma and, in particular, of Roma women,” said Mirjam Karoly, ODIHR Senior Adviser on Roma and Sinti Issues. “Measurable progress at the local level can only be achieved if policies are needs-based and have concrete objectives that are matched with measurable indicators and realistic budgets.”

Andriy Vitrenko, Deputy Minister of Culture of Ukraine for European Integration, stated that the Ministry was tasked in 2013to facilitate the implementation of the Strategy on the Protection and Integration of the Roma National Minority into Ukrainian Society up to 2020. “In order to achieve the goals set out in the Strategy, close collaboration among a number of ministries at the national level and good co-ordination with regional and local level authorities are needed.”

During the meeting, the participants emphasized that many Roma lack personal documents, hindering them from exercising their fundamental, social and political rights.

Volodomyr Kondur, Chairperson of the Roma Coalition, said: “We welcome the adoption of national and regional policy documents addressing the problems Roma face, but we want to see effective and sustainable results and ask for ensuring involvement of the Roma civil society in all stages of policy implementation and evaluation.”

The roundtable meeting was organized as a follow-up to ODIHR’s Situation Assessment Report on Roma in Ukraine and the Impact of the Current Crises and in line with the 2003 OSCE Action Plan on Roma and Sinti.

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