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  1. Poem.wav.wav +3 -0
  2. ReadMe.md +27 -0
  3. metadata.csv +46 -0
Poem.wav.wav ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:ada23d1801d400a5a5b1f3a1f24d3210d59840b5f63f5c3ee80e7dcace75b5ff
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+ size 18192462
ReadMe.md ADDED
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+ Dataset Description
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+ This dataset consists of a single audio recording intended for Text-to-Speech (TTS) training. The recording is approximately 3 minutes long and features clear spoken content recorded in a quiet environment, although some background noise was present, which I attempted to reduce.
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+ Audio File Details
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+ - File Name: s001.wav
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+ - Duration: 3 minutes
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+ - Content: The audio includes a reading of various sentences, all of which are fully transcribed in the accompanying `metadata.csv` file.
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+ Process and Challenges
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+ During the preparation of this dataset, I encountered several challenges:
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+ 1. Segmentation and Labeling:
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+ - I initially aimed to segment the audio recording into smaller clips based on silence, using the Silence Finder tool in Audacity. However, I found it difficult to understand how to use the labeling function effectively.
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+ - After multiple attempts, I realized I could not achieve the desired segmentation due to my unfamiliarity with Audacity's features. This led me to decide to use the entire recording instead of dividing it into smaller segments.
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+ 2. Background Noise:
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+ - While recording, some ambient noises interfered with the clarity of the audio. Even after recording in a quieter space, I found that some noise was still present. I used Audacity to cut out sections with noticeable noise, but this did not eliminate all distractions.
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+ In light of these challenges, I opted to provide a single complete recording to maintain the integrity of the content instead of risking loss in quality from poor segmentation.
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+ How to Use This Dataset
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+ 1. Download the audio file and the metadata.
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+ 2. Utilize the audio and corresponding transcripts for TTS model training or other research purposes.
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+ file_name|hon|rom
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+ s001.wav|My dog
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+ is smelly like a bog.
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+ With his wild curiosity le is always lost le is athletic as a lo
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+ 2. the melodies within us give us a rhythm to abide by, however, the rhythms keep us the same melodies with no Harmonie
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+ everything is monotone with no variation
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+ 3. School is good start
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+ Do I run? Or do I go?
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+ Who am I kidding?
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+ * My favorite color is blue
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+ spend a lot of time doing arts and craft
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+ I use a lot of glue
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+ Once I made a raft
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+ 5. burning house golden flame dirty water poison rain
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+ cooling breeze hurricane mind awake going insane
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+ 6. The light at the end
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+ At the end Of the tunnel
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+ Winding down the boring bleak path of where I am
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+ The path ahead dark but as I go
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+ behind me changes
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+ 7. School used to be easy I took that for granted
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+ To go back to those days would be the best
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+ But maybe at that time they seemed difficult, tedious, back-breaking
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+ Maybe in my college years I'll look back
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+ To freshman year and think the same
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+ I guess it's all about
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+ Perspective
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+ 8. I don't know what to write
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+ But I guess I'm writing a poem about nothing to say I don't know what I'm going to add next I don't know what word rhymes
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+ But I guess I'm writing a poem on my free time
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+ 9. A poem
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+ a collection of words
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+ unlike any others
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+ the scribbles mask a meaning
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+ a secretive code
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+ a story that can be deciphered by few
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+ a novel of ideas condensed 'using the same words
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+ the same language we all know
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+ 10. On the couch watching tv
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+ Bored out of my mind watching Now You See Me
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+ Its been three hours, and I'm still on this couch
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+ Nothing to do except waste time
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+ I'm so lazy i cant earn a dime
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+ The sunlight eases me into slumber
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+ its as if the light is taking me under
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+ Underneath