| Dataset Description | |
| 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. | |
| Audio File Details | |
| - File Name: s001.wav | |
| - Duration: 3 minutes | |
| - Content: The audio includes a reading of various sentences, all of which are fully transcribed in the accompanying `metadata.csv` file. | |
| Process and Challenges | |
| During the preparation of this dataset, I encountered several challenges: | |
| 1. Segmentation and Labeling: | |
| - 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. | |
| - 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. | |
| 2. Background Noise: | |
| - 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. | |
| 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. | |
| How to Use This Dataset | |
| 1. Download the audio file and the metadata. | |
| 2. Utilize the audio and corresponding transcripts for TTS model training or other research purposes. |