Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
ArchiveBot is an IRC bot designed to automate the archival of smaller websites (e.g. up to a few hundred thousand URLs). You give it a URL to start at, and it grabs all content under that URL, records it in a WARC, and then uploads that WARC to ArchiveTeam servers for eventual injection into the Internet Archive (or other archive sites).
To use ArchiveBot, drop by #archivebot on EFNet. To interact with ArchiveBot, you issue commands by typing it into the channel. Note you will need channel operator permissions in order to issue archiving jobs. The dashboard shows the sites being downloaded currently.
Google Cloud Speech API enables developers to convert audio to text
by applying powerful neural network models in an easy to use API.
The API recognizes over 80 languages and variants, to support your
global user base. You can transcribe the text of users dictating to an application’s
microphone, enable command-and-control through voice, or transcribe audio files,
among many other use cases. Recognize audio uploaded in the request,
and integrate with your audio storage on Google Cloud Storage, by using the same
technology Google uses to power its own products.
This webpage includes a live demo of the Cloud Speech API which requires access to
your microphone. In order to enable the demo, please connect a microphone and allow
your browser to access it. If you previously blocked microphone access to this page,
you should re-enable it in your browser's settings."
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Powered by Machine Learning
Apply the most advanced deep learning neural network algorithms to your user's audio
for speech recognition with unparalleled accuracy. Speech API
accuracy improves over time as Google improves the internal speech
recognition technology used by Google products.
Over 80 Languages
Speech API recognizes over 80 languages and variants to support your
global user base. You can also filter inappropriate content in text
results.
Return Text Results In Real-Time
Speech API can stream text results, returning partial recognition
results as they become available, with the recognized text appearing immediately
while speaking. Alternatively, Speech API can return recognized text from audio
stored in a file.
Accurate In Noisy Environments
You don’t need advanced signal processing or noise cancellation before sending audio
to Speech API. The service can successfully handle noisy audio from
a variety of environments.
Context-aware recognition
Speech recognition can be tailored to context by providing a separate set of word
hints with each API call. Useful especially for device/app control use cases.
Works with apps across any device
Speech API supports any device that can send a REST or gRPC request including phones,
PCs, tablets and IoT devices (e.g., cars, TVs, speakers)
Speech API Features
Speech to text conversion powered by machine learning
Automatic Speech Recognition
Automatic Speech Recognition (ASR) powered by deep learning neural networking to
power your applications like voice search or speech transcription.
Global Vocabulary
Recognizes over 80 languages and variants with an extensive vocabulary.
Streaming Recognition
Returns recognition results while the user is still speaking.
Word Hints
Speech recognition can be customized to a specific context by providing a set of
words and phrases that are likely to be spoken. Especially useful for adding custom
words and names to the vocabulary and in voice-control use cases.
Real-time or Pre-recorded Audio Support
Audio input can be captured by an application’s microphone or sent from a
pre-recorded audio file. Multiple audio encodings are supported, including FLAC, AMR,
PCMU and Linear-16.
Noise Robustness
Handles noisy audio from many environments without requiring additional noise
cancellation.
Inappropriate Content Filtering
Filter inappropriate content in text results for some languages.
Integrated API
Audio files can be uploaded in the request or integrated with
Google Cloud Storage.
CLOUD SPEECH API PRICING
Powerful Speech Recognition
Effective August 2016, Cloud Speech API Beta will be priced per 15 seconds of audio
processed after a 60 minute free tier. For details, please see our
pricing guide.
Monthly Usage
Price Per 15 seconds**
0 - 60 minutes
Free
61 - 1,000,000 minutes*
$0.006
* Monthly usage is capped at 1 million minutes per month
** This pricing is for applications on personal systems (e.g., phones,
tablets, laptops, desktops). Please
contact us
for approval and pricing to use Speech API on embedded devices
(e.g., cars, TVs, appliances, or speakers).
Beta: This is a
Beta release
of Google Cloud Speech API. This product is not intended for real time usage in
critical applications. This product is not covered by any SLA or deprecation policy
and may be subject to backward-incompatible changes.