Facebook AI Releases XLS-R, Self-Supervised Model For Speech Tasks

Facebook recently announced the release of XLS-R, a new self-supervised model for a variety of speech tasks. XLS-R substantively improves upon previous multilingual models by training on nearly ten times more public data in more than twice as many languages.  

https://analyticsindiamag.com/facebook-ai-releases-xls-r-self-supervised-model-for-speech-tasks/

 

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Facebook AI Releases XLS-R, Self-Supervised Model For Speech Tasks

Facebook AI Releases XLS-R, Self-Supervised Model For Speech Tasks

Facebook recently announced the release of XLS-R, a new self-supervised model for a variety of speech tasks. XLS-R substantively improves upon previous multilingual models by training on nearly ten times more public data in more than twice as many languages.  

https://analyticsindiamag.com/facebook-ai-releases-xls-r-self-supervised-model-for-speech-tasks/

 

Otho  Hagenes

Otho Hagenes

1619511840

Making Sales More Efficient: Lead Qualification Using AI

If you were to ask any organization today, you would learn that they are all becoming reliant on Artificial Intelligence Solutions and using AI to digitally transform in order to bring their organizations into the new age. AI is no longer a new concept, instead, with the technological advancements that are being made in the realm of AI, it has become a much-needed business facet.

AI has become easier to use and implement than ever before, and every business is applying AI solutions to their processes. Organizations have begun to base their digital transformation strategies around AI and the way in which they conduct their business. One of these business processes that AI has helped transform is lead qualifications.

#ai-solutions-development #artificial-intelligence #future-of-artificial-intellige #ai #ai-applications #ai-trends #future-of-ai #ai-revolution

Shradha Singh

1609159431

AI Models Are Making the World a Better Place

Artificial Intelligence (AI) is not a future trend; it is very much a part of our present and is steering our everyday lives. From the posts we see on our social media profiles to the movies we are recommended by Netflix and products Amazon suggests to us, we actively use AI technology.

Further on, with big companies and makers like NVIDIA, Intel, Qualcomm, and others, innovating the underlying technology (semiconductors), AI models are becoming smarter and better. Here we explore a few ways in which AI is changing our world and making it more advanced and simpler.

AI and the Human World: 4 Big Futuristic Changes
AI Will Improve Remote Learning

Distance learning has existed for many years. But its sudden introduction came as a shocker to the parents as well as teachers as it forced them to learn to teach and learn through the screen.

Artificial Intelligence professionals can help education leaders reduce costs and make education more effective by delivering successful online lessons. It will allow teachers to delegate mundane tasks and take up creative assessments. Planning, assessment, scheduling, and even teaching of facts can be taken care of by the AI.

The tech will allow teachers to focus on building students’ curiosity levels, critical thinking abilities, and creativity. China is leading the way in this with AI solutions in e-Learning with its 9 EdTech unicorns.

It can deliver a learning experience that is customized to a child’s needs.

**AI Will Introduce Physical Interfaces Between Humans and Machines **
Platforms and machines today are better at interacting with us due to AI. However, it is yet to go beyond the software styled interface. In the years to come, AI will go beyond real-world interfaces through which we will talk and interact with AI machines.

Autonomous vehicles are one such example.

Currently, such automation can only be seen in closed doors of factories and warehouses. Plus, these machines are narrow in their activities and rigid. AI-driven automated interfaces and machines will be more sensitive to our needs and intelligence. Artificial Intelligence professionals working in this arena will be high in-demand in future economies.

Latest developments in machine learning and AI models can successfully beat humans through reinforcement learning in games such as Go and DOTA, where an infinite amount of data is generated. This raises hopes for intelligent real-world AI becoming a reality provided enough data and simulations are provided.

#ai models #machine learning #ai #ai machines #ai solutions #futuristic

Elton  Bogan

Elton Bogan

1602338400

Facebook Is Giving Away This Speech Recognition Model For Free

Researchers at Facebook AI recently introduced and open-sourced a new framework for self-supervised learning of representations from raw audio data known as wav2vec 2.0. The company claims that this framework can enable automatic speech recognition models with just 10 minutes of transcribed speech data.

Neural network models have gained much traction over the last few years due to its applications across various sectors. The models work with the help of vast quantities of labelled training data. However, most of the time, it is challenging to gather labelled data than unlabelled data.

The current speech recognition systems require thousands of hours of transcribed speech to reach acceptable performance. There are around 7,000 languages in the world and many more dialects. It can be said that the availability of the transcribed speech for a vast majority of languages is still negative.

To mitigate such issues, researchers open-sourced the wave2vec framework. The framework has the capability to make efficient development in Automatic Speech Recognition (ASR) for the low-resource languages.).

#developers corner #facebook ai #facebook ai research #speech recognition algorithm

Edna  Bernhard

Edna Bernhard

1598280469

Speech Analytics, Sound Analytics in TorchAudio

The landscape of DataScience is changing everyday. In the last few years we have seen numerous number of research and advancement in NLP and Computer Vision field. But there is a field which is still unexplored and has a lot of potential , the field is — SPEECH.

In the last tutorial we have learned about:

  1. What is a Sound wave?

2. The basic properties of sound wave

3. Feature Extraction from sound wave

4. Pre-Processing a sound wave

In this tutorial we would be looking into the practical application of it in Python. The two most popular libraries to help you in your journey are:

  1. Librosa
  2. TorchAudio

TorchAudio — It is a PyTorch domain library consisting of I/O, popular datasets and common audio transformations that can bring new speed and efficiency to your PyTorch projects. It is one of the powerful speech modulation software created by Facebook.

#speech-analytics #speech-recognition #machine-learning-ai #pytorch #speech #ai