| # Dataset Card for PSRB (Persian Speech Recognition Benchmark) - 1-Hour Sample |
|
|
| ## Dataset Summary |
|
|
| The Persian Speech Recognition Benchmark (PSRB) is a comprehensive dataset designed to evaluate Persian Automatic Speech Recognition (ASR) systems under diverse real-world conditions. |
| This 1-hour sample provides a representative subset of the full PSRB corpus, capturing various accents, speech styles, speaker demographics, and acoustic environments. |
|
|
|
|
| ## Supported Tasks and Leaderboards |
|
|
| - Automatic Speech Recognition (ASR) |
|
|
| ## Languages |
|
|
| - Persian (Farsi) |
|
|
| ## Dataset Structure |
|
|
| ### Data Instances |
|
|
| Each data instance in this sample is structured as: |
|
|
| ```json |
| { |
| "audio_path": "file1.wav", |
| "text": "میگم نمیخواین طبق نقشه جلو بریم؟ نقشه رو بیخیال غمت نباشه ما مستر رد پا رو داریم. حس بویایی و شمام اشتباه نمیکنه. همین الان اشتباه کرده.", |
| "audio_duration": 11.88, |
| "number_of_speakers": 3, |
| "gender": "male", |
| "age": "mix", |
| "accents": "standard", |
| "formality": "informal", |
| "semantic_content": "artistic&literary", |
| "data_source": "animation", |
| "acoustic_environment": "noisy", |
| "spontaneous": 1 |
| } |
| ``` |
|
|
| ### Data Fields |
|
|
| - **`audio_path`**: Path to the `.wav` audio file. |
| - **`text`**: Transcription of the audio in Persian. |
| - **`audio_duration`**: Duration of the audio file in seconds. |
| - **`number_of_speakers`**: Number of speakers present in the clip. |
| - **`gender`**: Gender of the speaker(s). |
| - **`age`**: Age category (e.g., child, teen, adult, senior, or mix). |
| - **`accents`**: Regional accent of the speaker or "standard." |
| - **`formality`**: Formality level ("formal" or "informal"). |
| - **`semantic_content`**: Semantic topic or domain of the speech (e.g., artistic&literary, technological, medical). |
| - **`data_source`**: Source type of the data (e.g., animation, podcast, lecture). |
| - **`acoustic_environment`**: Recording environment (e.g., clean, noisy). |
| - **`spontaneous`**: 1 if speech is spontaneous, 0 if scripted. |
| --- |
| |
| ## Dataset Creation |
| |
| ### Curation Rationale |
| |
| The PSRB dataset was created to address the lack of comprehensive Persian ASR resources, covering linguistic diversity (accents, formality) and acoustic variability (clean, noisy, phone calls). |
| |
| ### Source Data |
| |
| Data sources include: |
| - News broadcasts |
| - Movies and TV shows |
| - Podcasts |
| - Lectures |
| - Audiobooks |
| - Talk shows |
| |
| Collected from platforms such as Telewebion, Aparat, YouTube, and Iranseda. |
| |
| ### Annotations |
| |
| - Transcriptions manually created by expert native Persian speakers. |
| - Strict two-pass quality control review to ensure consistency and correctness. |
| - Rich metadata labeling for speaker demographics and speech conditions. |
| |
| ### Personal and Sensitive Information |
| |
| - All data was anonymized to protect the identity of participants. |
| - No personally identifiable information (PII) is present in this dataset. |
| --- |
| |
| ## Considerations for Using the Data |
| |
| ### Limitations |
| |
| - This sample may not capture the full variability of the complete PSRB corpus. |
| --- |
| |
| ## Additional Information |
| |
| |
| ### Licensing Information |
| |
| This dataset is made available for **research and educational purposes only**. |
| |
| --- |
| |
| ## Citation Information |
| |
| If you use this dataset in your research, please cite: |
| |
| ```bibtex |
| @misc{psrb2025, |
| title={PSRB: A Comprehensive Benchmark for Evaluating Persian Automatic Speech Recognition Systems}, |
| author={Nima Sedghiye and Sara Sadeghi and Reza Khodadadi and Farzin Kashani and Omid Aghdaei and Somayeh Rahimi and Mohammad Sadegh Safari}, |
| year={2025}, |
| publisher={Part AI Research Center}, |
| note={Preprint} |
| } |
