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Common Voice is a crowdsourcing project started by Mozilla to create a free database for speech recognition software. The project is supported by volunteers who record sample sentences with a microphone and review recordings of other users. The transcribed sentences are collected in a voice database available under the public domain license CC0 ...
The Harvard sentences, or Harvard lines, [1] is a collection of 720 sample phrases, divided into lists of 10, used for standardized testing of Voice over IP, cellular, and other telephone systems. They are phonetically balanced sentences that use specific phonemes at the same frequency they appear in English.
There are a number of free sound effects resources of public domain or free content sound recordings appropriate for Wikipedia use available online, and as well as in other contexts. All files should be converted to ogg , Wikipedia's patent-free format of choice.
A speech sample of Microsoft Sam, using the SAPI 5 version of the voice. The first part uses a variation of "The quick brown fox jumps over the lazy dog" panagram. The second part demonstrates the "soy/soi" glitch associated with Sam. Microsoft Sam is the default text-to-speech male voice in Microsoft Windows 2000 and Windows XP.
This page categorizes non-free audio samples. To place a file in this category , add the tag {{ Non-free audio sample }} to the bottom of the file's description page. If you are not sure which category a file belongs to, consult the file copyright tag page .
Codec 2 is a low-bitrate speech audio codec (speech coding) that is patent free and open source. [1] Codec 2 compresses speech using sinusoidal coding, a method specialized for human speech. Bit rates of 3200 to 450 bit/s have been successfully created. Codec 2 was designed to be used for amateur radio and other high compression voice applications.
Enjoy a classic game of Hearts and watch out for the Queen of Spades!
PESQ is a full-reference algorithm and analyzes the speech signal sample-by-sample after a temporal alignment of corresponding excerpts of reference and test signal. PESQ can be applied to provide an end-to-end (E2E) quality assessment for a network, or characterize individual network components.
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