Baidu launches SwiftScribe, an app that transcribes audio with AI

Baidu launches SwiftScribe, an app that transcribes audio with #AI

  • Baidu, the Chinese company operating a search engine, a mobile browser, and other web services, is announcing today the launch of SwiftScribe, a web app that’s meant to help people transcribe audio recordings more quickly, using — you guessed it!
  • SwiftScribe can handle up to an hour of audio in any given file, but that will take 20 minutes to process, Baidu project manager Tian Wu told VentureBeat in an interview.
  • Wu’s team believes SwiftScribe can help people transcribe audio 1.67 times faster — in 40 percent less time — than they would on their own.
  • While the product is certainly designed for transcriptionists — who are used to working on computers as opposed to mobile devices, hence the fact that SwiftScribe is only available as a web app — SwiftScribe could also come in handy for other people, like journalists and historians.
  • Today, Baidu is providing SwiftScribe as a free service — unlike Nuance’s Dragon software.

Baidu, the Chinese company operating a search engine, a mobile browser, and other web services, is announcing today the launch of SwiftScribe, a web app that’s meant to help people transcribe audio recordings more quickly, using — you guessed it! — artificial intelligence (AI).
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Conversations on AI – Conversations on AI

Exploring the next frontier in computing, see our vision for the future of #AI:

  • Microsoft Translator is making the language barrier a thing of the past.
  • Last month, Microsoft became the first in the industry to reach parity with humans in speech recognition .
  • “Across several industry benchmarks, our computer vision algorithms have surpassed others in the industry – even humans,” said Harry Shum, executive vice president of Microsoft’s Artificial Intelligence (AI) and Research group, at a small gathering on AI in San Francisco on Dec. 13. “
  • Using this new intelligent language and speech recognition capability, Microsoft Translator can now simultaneously translate between groups speaking multiple languages in-person, in real-time, connecting people and overcoming barriers.
  • There’s also been groundbreaking work with Skype Translator – now available in 9 languages – an example of accelerating the pipeline from research to product.

Microsoft has been investing in the promise of artificial intelligence for more than 25 years — and this vision is coming to life with new chatbot Zo, Cortana Devices SDK and Skills Kit, and expansion of intelligence tools.
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MusicNet

MusicNet: A curated collection of labeled classical music  #music #machinelearning

  • Automatic music transcription, inferring a musical score from a recording, is a long-standing open problem in the music information retrieval community.
  • Identify precise onset times of the notes in a recording.
  • The MusicNet labels apply exclusively to Creative Commons and Public Domain recordings, and as such we can distribute and re-distribute the MusicNet labels together with their corresponding recordings.
  • MusicNet is a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note every recording, the instrument that plays each note, and the note’s position in the metrical structure of the composition.
  • The labels are acquired from musical scores aligned to recordings by dynamic time warping .

MusicNet is a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note every recording, the instrument that plays each note, and the note’s position in the metrical structure of the composition. The labels are acquired from musical scores aligned to recordings by dynamic time warping. The labels are verified by trained musicians; we estimate a labeling error rate of 4%. We offer the MusicNet labels to the machine learning and music communities as a resource for training models and a common benchmark for comparing results.

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Artificial Intelligence: Don’t Fear It, Embrace It

Artificial Intelligence: Don't Fear It, Embrace It | #BigData #Artificialintelligence #RT

  • Many intermediary steps had to be taken to teach machine learning systems.
  • “We’re seeing the point at which data-driven deep learning systems are starting to overtake systems that we’ve engineered ourselves,” said Coates. “
  • Big data could drive the next big security strategy shift.
  • Thanks to mobile devices, data that’s useful to deep learning systems is being generated at an ever growing rate.
  • But traditional machine learning hit a wall, Coates said.

Adam Coates, the director of the Baidu Research’s Silicon Valley AI Lab, says don’t fear artificial intelligence. Instead, look to it to save lives. He spoke at the InformationWeek Elite 100 Conference this week.
Continue reading “Artificial Intelligence: Don’t Fear It, Embrace It”

Artificial Intelligence: Don’t Fear It, Embrace It

Artificial Intelligence: Don't Fear It, Embrace It | #BigData #Artificialintelligence #RT

  • Many intermediary steps had to be taken to teach machine learning systems.
  • “We’re seeing the point at which data-driven deep learning systems are starting to overtake systems that we’ve engineered ourselves,” said Coates. “
  • Big data could drive the next big security strategy shift.
  • Thanks to mobile devices, data that’s useful to deep learning systems is being generated at an ever growing rate.
  • But traditional machine learning hit a wall, Coates said.

Read the full article, click here.


@Ronald_vanLoon: “Artificial Intelligence: Don’t Fear It, Embrace It | #BigData #Artificialintelligence #RT”


Adam Coates, the director of the Baidu Research’s Silicon Valley AI Lab, says don’t fear artificial intelligence. Instead, look to it to save lives. He spoke at the InformationWeek Elite 100 Conference this week.


Artificial Intelligence: Don’t Fear It, Embrace It

Deep Learning Summer School, Montreal 2016

  • Learning to See Learning to See
  • Learning to Communicate with Deep Multi–Agent Reinforcement Learning Learning to Communicate with Deep Multi–Agent Reinforcement Learning
  • Deep Reinforcement Learning Deep Reinforcement Learning
  • The Deep Learning Summer School 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research.
  • Learning Deep Generative Models Learning Deep Generative Models

Read the full article, click here.


@karpathy: “Videos from 2016 Deep Learning Summer School in Montreal are up and slides”


Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning. The Deep Learning Summer School 2016 is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. Note: Slide synchronization will soon be added.


Deep Learning Summer School, Montreal 2016

Artificial Intelligence: Don’t Fear It, Embrace It

Artificial Intelligence: Don't Fear It, Embrace It | #BigData #Artificialintelligence #RT

  • Many intermediary steps had to be taken to teach machine learning systems.
  • “We’re seeing the point at which data-driven deep learning systems are starting to overtake systems that we’ve engineered ourselves,” said Coates. “
  • Big data could drive the next big security strategy shift.
  • Thanks to mobile devices, data that’s useful to deep learning systems is being generated at an ever growing rate.
  • But traditional machine learning hit a wall, Coates said.

Read the full article, click here.


@Ronald_vanLoon: “Artificial Intelligence: Don’t Fear It, Embrace It | #BigData #Artificialintelligence #RT”


Adam Coates, the director of the Baidu Research’s Silicon Valley AI Lab, says don’t fear artificial intelligence. Instead, look to it to save lives. He spoke at the InformationWeek Elite 100 Conference this week.


Artificial Intelligence: Don’t Fear It, Embrace It