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@@ -12,6 +12,8 @@ dataset_info:
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  dtype: string
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  - name: race
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  dtype: string
 
 
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  license: other
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  task_categories:
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  - text-to-speech
@@ -38,13 +40,14 @@ The recordings were captured using studio microphones with pop filters. Gender,
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  This dataset was created for voice cloning and text-to-speech (TTS) purposes. Rights have been obtained for both use cases, and the data can be used for commercial purposes.
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  ## Technical Analysis
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  The following metrics were computed across all samples using Silero VAD for speech detection.
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  | Metric | Value |
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  |--------|-------|
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- | Number of files | 5 |
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  | Average sample rate | 80,160 Hz |
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  | Average bit depth | 22 |
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  | Average mean SNR | 18.95 dB |
 
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  dtype: string
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  - name: race
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  dtype: string
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+ - name: transcription
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+ dtype: string
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  license: other
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  task_categories:
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  - text-to-speech
 
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  This dataset was created for voice cloning and text-to-speech (TTS) purposes. Rights have been obtained for both use cases, and the data can be used for commercial purposes.
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+ The recordings are rich in phonetic/NATO alphabet spelling, email addresses, phone numbers, order numbers, mailing addresses, company names, and personal names. All identifying information is fictional. Each segment includes a human-reviewed transcript with word-level timestamps.
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+
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  ## Technical Analysis
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  The following metrics were computed across all samples using Silero VAD for speech detection.
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  | Metric | Value |
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  |--------|-------|
 
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  | Average sample rate | 80,160 Hz |
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  | Average bit depth | 22 |
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  | Average mean SNR | 18.95 dB |