| --- |
| license: other |
| task_categories: |
| - automatic-speech-recognition |
| - translation |
| language: |
| - nan |
| - zh |
| tags: |
| - minspeech |
| - hokkien |
| - s2tt |
| - dataset-processing |
| pretty_name: MinSpeech Cleaned (Private Research Fork) |
| --- |
| |
| # MinSpeech: Cleaned Multi-dialect Min-nan Dataset (Private) |
|
|
| ## Important Legal Notice & Copyright Status |
|
|
| This repository is a **Private Research Fork** of the MinSpeech corpus. It is maintained strictly for individual research purposes, specifically for fine-tuning **Automatic Speech Recognition (ASR)** and **Speech-to-Text Translation (S2TT)** models. |
|
|
| ### 1. Ownership & Licensing |
| * **Annotations & Metadata:** The transcriptions and segment metadata are derived from the MinSpeech project ([Interspeech 2024](https://doi.org/10.21437/Interspeech.2024-2414)). These elements are used under the **CC BY-NC-SA 4.0** license. |
| * **Audio Content:** We **do not claim ownership** of the audio data. All audio files are sourced from public YouTube content. The copyright for the raw audio remains entirely with the **original content creators (YouTube uploaders)**. |
| * **Usage Intent:** This data is processed and stored here solely for non-commercial, non-expressive machine learning training. No audio data is intended for redistribution or public performance. |
|
|
| ### 2. Fair Use & Compliance Statement |
| Following the copyright regulations of Mainland China, Taiwan, the US, and Australia regarding AI research: |
| * **Non-Infringement:** This repository does not seek to infringe upon the rights of the original creators. By keeping this repository **Private**, we ensure that no unauthorized public distribution of copyrighted audio occurs. |
| * **Transformation:** The audio is utilized to extract statistical linguistic features for S2TT/ASR model weights, which is considered a transformative, non-consumptive use under research exemptions. |
|
|
| --- |
|
|
| ## Dataset Description |
|
|
| This private version contains cleaned and pre-processed samples from the MinSpeech corpus to optimize training efficiency. |
|
|
| * **Original Paper:** *MinSpeech: A Corpus of Southern Min Dialect for Automatic Speech Recognition* (Lin et al., 2024). |
| * **Modifications:** * Audio standardized to 16kHz Mono WAV. |
| * VAD-based silence removal and noise reduction. |
| * Alignment verified between YouTube segments and transcriptions. |
|
|
| --- |
|
|
| ## License and Usage Restrictions |
|
|
| This private dataset repository contains a compilation of data from multiple sources with different licensing terms. |
|
|
| ### 1. Annotations & Metadata (CC BY-NC-SA 4.0) |
| The text transcriptions, timestamps, and translation labels are derived from the **MinSpeech** project. |
| * These elements are strictly governed by the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International** license. |
| * Any redistribution of these specific metadata files must adhere to this license. |
|
|
| ### 2. Audio Data (Original Creator Copyright) |
| The audio files in this repository are processed derivatives of public content from **YouTube**. |
| * **No License Granted:** We do not hold the copyright to these audio recordings and cannot grant any license for their use. |
| * **Third-Party Rights:** Copyright remains with the original YouTube content creators. |
| * **Research Exception:** This data is stored here in a **Private** capacity for non-commercial machine learning research (Fine-tuning ASR/S2TT models) under "Fair Use" or "Research/Study" exemptions as defined in relevant jurisdictions (Mainland China, Taiwan, US, Australia). |
|
|
| ### 3. Usage Policy |
| By accessing this private repository, you agree that: |
| 1. You will not redistribute the audio files. |
| 2. You will use this data solely for non-commercial academic research. |
| 3. You acknowledge that the model trained on this data (ASR/S2TT) is a statistical representation and does not contain the original audio. |
