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@@ -25,22 +25,24 @@ The dataset was created to address the challenge where **humming is mistakenly d
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  ## 📜 Dataset Creation Strategy
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  To build this dataset, the following methodology was used:
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- 1. **Humming Audio Collection**: Various humming recordings were sourced from the "MLEnd-Hums-and-Whistles" dataset.
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- 2. **Speech Insertion**: Short speech segments were extracted from "Global Recordings Network" datasets.
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  3. **Mixing Strategy**:
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- - Humming is the dominant sound in each sample.
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  - Speech is **randomly inserted** at different timestamps in the humming audio.
 
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  - Speech timestamps were carefully annotated to facilitate supervised learning.
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  ### 🔹 Metadata Explanation
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  The dataset includes the following metadata columns:
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  | Column Name | Description |
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  |----------------------------------|-------------|
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  | `humming_song` | The song or source from which the humming was derived. |
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- | `humming_Interpreter` | The individual or source providing the humming. |
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- | `humming_audio_used` | Index of the humming audio in the original dataset. |
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- | `humming_transcript` | Transcription of the humming (if available). |
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  | `globalrecordings_audio_used` | Speech segment sourced from Global Recordings Network. |
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  | `globalrecordings_audio_ts_used` | The start and end timestamps of the speech segment in the original recording. |
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  | `mixed_audio_path` | The path to the final mixed audio file (humming + speech). |
 
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  ## 📜 Dataset Creation Strategy
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  To build this dataset, the following methodology was used:
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+ 1. **Humming Audio Collection**: Various humming recordings were sourced from the ["MLEnd-Hums-and-Whistles"](https://www.kaggle.com/datasets/jesusrequena/mlend-hums-and-whistles?resource=download) dataset.
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+ 2. **Speech Insertion**: Short speech segments were extracted from ["Global Recordings Network"](https://models.silero.ai/vad_datasets/globalrecordings.feather) datasets.
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  3. **Mixing Strategy**:
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+ - Speech can be **longer or shorter than the humming segment**.
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  - Speech is **randomly inserted** at different timestamps in the humming audio.
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+ - In some cases, speech can **overlap entirely with the humming**, or be **longer than the entire humming segment**.
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  - Speech timestamps were carefully annotated to facilitate supervised learning.
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+
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  ### 🔹 Metadata Explanation
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  The dataset includes the following metadata columns:
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  | Column Name | Description |
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  |----------------------------------|-------------|
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  | `humming_song` | The song or source from which the humming was derived. |
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+ | `humming_Interpreter` | The individual or source providing the humming. More data in [`MLEndHWD_Interpreter_Demographics.csv`](https://huggingface.co/datasets/CuriousMonkey7/HumSpeechBlend/blob/main/MLEndHWD_Interpreter_Demographics.csv) |
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+ | `humming_audio_used` | humming audio path in the original dataset. |
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+ | `humming_transcript` | Transcription of the humming from whisper-large-v3-turbo. |
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  | `globalrecordings_audio_used` | Speech segment sourced from Global Recordings Network. |
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  | `globalrecordings_audio_ts_used` | The start and end timestamps of the speech segment in the original recording. |
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  | `mixed_audio_path` | The path to the final mixed audio file (humming + speech). |