| # 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} | |
| } |