Religious Activities Chanting Audio Retrieval Dataset

#Audio retrieval #speech recognition #natural language processing #Religious cultural research #chanting audio analysis #religious language recognition
  • 500 hours
  • 1.5G
  • WAV
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

Globally, the study and analysis of audio data related to religious activities is receiving increasing attention. Currently, facing challenges such as language diversity and chant audio complexity, existing solutions are limited by incomplete datasets and inaccurate labeling, making it difficult to meet growing research demands. This dataset aims to provide a comprehensive and high-quality chant audio retrieval resource for the language and cultural field, helping to solve key problems in audio recognition and analysis. Data collection is primarily conducted using high-sensitivity recording equipment in various religious venues in real-world settings, ensuring the authenticity and diversity of audio samples. Quality control is strict, with multiple rounds of annotation and consistency checks, reviewed by linguistic experts. The annotation team has a strong background in religion and language, comprising over 50 members. Data preprocessing includes noise reduction, cutting, and format conversion to ensure high data quality. All data is stored in WAV format for easy subsequent analysis and processing.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
audio_ratestringAudio sample rate
audio_channelstringAudio channel
languagestringThe language used in the audio.
chant_typestringThe type of chanting in the audio, such as hymn, prayer, scripture reading, etc.
religionstringThe category of religion involved in the audio, such as Buddhism, Christianity, Islam, etc.
background_noisestringWhether there is background noise in the audio and a description of the noise.
speaker_genderstringThe gender of the main chanter in the audio.
speaker_age_groupstringThe age group of the main chanter in the audio, such as child, young adult, adult, elderly.
acoustic_envstringThe acoustic environment during the audio recording, such as indoor, outdoor, temple, etc.
emotion_tonestringThe main emotion or tone expressed in the audio, such as peaceful, passionate, sad, etc.
duration_of_silencefloatThe total duration of the silent segments in the audio, measured in seconds.
chant_speedfloatThe speed of chanting in the audio, measured in words per minute.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the main purpose of the Religious Chant Audio Retrieval Dataset?
The dataset is primarily used to promote intelligent recognition and analysis of language and culture, especially in religious contexts.
What types of audio does the Religious Chant Audio Dataset include?
The dataset includes chant audio from various religious activities.
How can the Religious Chant Audio Dataset be used for language and culture research?
Researchers can analyze linguistic features and acoustic characteristics in chant audio for language and culture studies.
How does the Religious Chant Audio Dataset assist in intelligent recognition?
This dataset can be used to train and optimize speech recognition systems to enhance their ability to recognize in religious audio contexts.
Which religions' audio does the Religious Chant Audio Retrieval Dataset contain?
It includes chants from various religions, but the specific religions need to be confirmed in the dataset description.

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Cite this Work

@dataset{Mobiusi2026,
  title={Religious Activities Chanting Audio Retrieval Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/f0dfccfd27091c642349812cb27e3454},
  urldate={2026-02-04},
  keywords={Religious audio dataset, chanting audio analysis, intelligent language cultural recognition},
  version={1.0}
}

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