CMU Sphinx

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Channel Reputation Rank

#94
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Activity Status

Stale

last updated

According to the data and stats that were collected, 'CMU Sphinx' channel has an outstanding rank. Despite such a rank, the feed was last updated more than a year ago. The channel mostly uses long articles along with sentence constructions of the intermediate readability level, which is a result that may indicate difficult texts on the channel, probably due to a big amount of industrial or scientific terms.

About 'CMU Sphinx' Channel

Open Source Toolkit For Speech Recognition

? Updates History Monthly Yearly
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? Content Ratio
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? Average Article Length

Long articles are widely used on 'CMU Sphinx' as elaborated and interesting content can help the channel to reach a high number of subscribers. In addition there are a few medium length articles.

short

long

? Readability Level

Intermediate readability level is common for 'CMU Sphinx' articles as it addresses the matters that demand certain level of education to be understood. Sometimes the channel gets even more difficult by issuing pieces of advanced readability level (they make up more than a quarter of all content). In addition the channel contains some materials of a basic readability level.

advanced

basic

? Sentiment Analysis

Positive emotional expressions prevail throughout the texts: they may include favorable reviews, appreciation or praise in regard to the subjects addressed on the channel. However, the channel also contains some rather negative or critical records that make up just a small amount of all its content.

positive

negative

Recent News
GSOC 2017 accepted projects announced

The list of accepted projects for Google Summer of Code 2017 has been announced today. Please check There are two major parts, one is pronunciation evaluation...

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Telegram group

Telegram group

We are happy to see you in our Telegram group, join us for realtime discussions about CMUSphinx Click Here

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Pocketsphinx as standalone app on Android wearables

With the launch of Android Wear’s new version 2.0 now it is possible to run standalone apps on wearables – indepentent of a phone. The PocketSphinx Demo...

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CMUSphinx at GSOC 2017

After several years break we are pleased to announce that CMUSphinx project is accepted to Google Summer Of Code 2017 program. That will enable us to...

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New 27k words 70h German model released

Guenter Bartsch writes us: The latest release of my audio models built from voxforge submissions is up to 70 hours of audio and 27k dictionary entries...

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CMUSphinx is a project of the week on Sourceforge

Sourceforge done some wrong steps, but now is is getting definitely better. And they provide a crazy slow, but still a very valuable hosting for us. ...

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Should you select Raspberry Pi 3 or Raspberry Pi B+ for CMUSphinx

This is an interesting, a very important question for our users. Embedded software is one of the core use cases, nobody cares about Intel these days,...

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Grapheme-to-phoneme tool based on sequence-to-sequence learning

Recurrent neural networks (RNN) with long short term memory cells (LSTM) recently demonstrated very promising performance results in language modeling...

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JabberChess, A Mobile Chess App Speech Recognizer for Visual and Motion Impaired Users

Jackson Chen, a high-schooler from Colorado, US has recently made available a chess application controlled by voice created with CMUSphinx. You can find...

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OpenEars 2.5 is out

OpenEars 2.5 is out

See the details here. OpenEars is now able to support speech recognition with English, Spanish, Mandarin Chinese, French, German, and Dutch.

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Pocketsphinx wrappers with SWIG for Ruby and Javascript

There is a big demand in support of speech recognition API in various programming environments. Python is getting a lot of traction, Ruby is still widely...

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