User:Angeliki/Grad project speech analysis: Difference between revisions
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! Voice samples for training speech analysis software ([https://catalog.ldc.upenn.edu/search LDC]) !! Using speech analysis software to verify voice samples | ! Voice samples for training speech analysis software ([https://catalog.ldc.upenn.edu/search LDC]) !! Using speech analysis software to verify voice samples | ||
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| ordered samples or real samples || Example | | what data: ordered samples or real samples (broadcast conversations, broadcast news, field recordings[[https://catalog.ldc.upenn.edu/LDC94S14A air traffic], [https://catalog.ldc.upenn.edu/LDC2015S08 walking/noise background], ], meeting speech, microphone conversation, microphone speech, telephone conversations, telephone speech, transcribed speech, video) || Example | ||
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| universities (of linguistics) around the world, research projects or | | from where: universities (of linguistics) around the world, research projects or satellites, radio|| Example | ||
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| "Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers." || Example | | extracts of descriptions of the samples: "Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers." || Example | ||
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| with permission from the users || Example | | with permission from the users or not in the case of real samples || Example | ||
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| Example || Example | | Example || Example | ||
Revision as of 13:34, 11 November 2018
Re- humanizing voice samples
| Voice samples for training speech analysis software (LDC) | Using speech analysis software to verify voice samples |
|---|---|
| what data: ordered samples or real samples (broadcast conversations, broadcast news, field recordings[air traffic, walking/noise background, ], meeting speech, microphone conversation, microphone speech, telephone conversations, telephone speech, transcribed speech, video) | Example |
| from where: universities (of linguistics) around the world, research projects or satellites, radio | Example |
| extracts of descriptions of the samples: "Transcripts have been made of all recordings in this publication, manually time aligned to the phrasal level, annotated to identify boundaries between news stories, speaker turn boundaries and gender information about the speakers." | Example |
| with permission from the users or not in the case of real samples | Example |
| Example | Example |
| Example | Example |