--- language: - th license: apache-2.0 task_categories: - automatic-speech-recognition tags: - audio - speech-processing - isan-dialect pretty_name: Thai Dialect Isan Speech Corpus size_categories: - 10k` - *Example:* `"ข้อย[กะ]<ก็>บ่ค่อยมี[แฮง]<แรง>"` - **thai_spelling** (`string`): The transcription normalized to Standard Thai spelling. - *Example:* `"ข้อยก็บ่ค่อยมีแรง"` - **isan_spelling** (`string`): The transcription written in Isan spelling (phonetic to the dialect). - *Example:* `"ข้อยกะบ่ค่อยมีแฮง"` - **name** (`string`): The original filename, often containing metadata codes (e.g., `opentyphoon;is;x_061;gen;0049.wav`). - **district** (`string`): The district (Amphoe) where the speaker resides. - **province** (`string`): The province (Changwat) where the speaker resides. - **age** (`int`): The age of the speaker. - **gender** (`string`): The gender of the speaker. Values include `"m"` (male), `"f"` (female), and `"x"` (not specified). - **question_id** (`string`): The ID of the prompt question asked to the speaker. - **question** (`string`): The text of the question asked to the speaker. - **duration** (`float`): The duration of the audio clip in seconds. ## Key Features ### 1. Rich Annotation Format The `raw` field provides a unique mapping between Isan dialect and Standard Thai. This is valuable for dialect normalization and translation tasks. - **Format:** `[dialect spelling]` - **Example:** `[เฮา]<เรา>` indicates the speaker said "hao" (Isan) which corresponds to "rao" (Thai for "We/Us"). ### 2. Demographic Diversity The dataset includes speakers from multiple key provinces in the Isan region, allowing for analysis of regional accent variations. Provinces include: - Khon Kaen - Udon Thani - Ubon Ratchathani - Chaiyaphum - Roi Et - Maha Sarakham - Kalasin - Nong Bua Lam Phu - Beung Kan ### 3. Prompted Speech Recordings are responses to specific questions (found in the `question` field), providing context for the speech. This helps in analyzing semantic understanding and sentiment in the local dialect. ## Usage ### Loading the Dataset ```python from datasets import load_dataset import IPython.display as ipd # Load the dataset dataset = load_dataset("scb10x/thai-dialect-isan-dataset") # Select a sample example = dataset['train'][0] # Print transcriptions print(f"Transcript (Isan): {example['isan_spelling']}") print(f"Transcript (Thai): {example['thai_spelling']}") # Listen to audio ipd.Audio(example['audio']['array'], rate=example['audio']['sampling_rate'])