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5K+ Hours Telugu Dual-Channel Podcast Audio Dataset
Audio, Speech & Acoustic Datasets
Tags and Keywords
£44,800
About
Telugu Dual-Channel Podcast Audio Dataset
Description
The Telugu Dual-Channel Podcast Audio Dataset is a high-quality collection of Telugu podcast recordings of 5,964 hours designed for developing, training, and evaluating speech and language AI systems. The dataset contains dual-channel audio featuring natural Telugu speech captured from podcast recordings, making it suitable for real-world speech processing applications.
This dataset is well-suited for Automatic Speech Recognition (ASR), speaker diarization, speech enhancement, conversational AI, Natural Language Processing (NLP), speech analytics, audio transcription, language modeling, and other machine learning applications.
Note: Pricing varies depending on several factors, including the language, total audio hours, metadata availability, number of attributes, annotation requirements, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| Audio Format | High-quality WAV, OBB, MP3 audio files |
| Channel Configuration | Dual-channel |
| Language | Telugu |
| Audio Quality | High-fidelity recordings suitable for AI training |
| AI Ready | Suitable for speech AI, NLP, and machine learning workflows |
Distribution
Format: WAV, OBB, MP3 audio files
Data Volume
-Records: Podcast recordings
-Volume: 5,964 hours
-Channel Configuration: Dual-Channel
Usage
This data product is ideal for a variety of applications:
Automatic Speech Recognition (ASR): Train and evaluate speech recognition systems.
Speaker Diarization: Identify and separate multiple speakers using dual-channel recordings.
Speech-to-Text: Develop highly accurate transcription solutions.
Conversational AI: Build intelligent voice assistants and dialogue systems.
Natural Language Processing (NLP): Support language understanding and speech-based NLP tasks.
Speech Analytics: Analyze conversations for customer insights, behavioral analysis, and research.
Speech Enhancement: Improve audio quality and reduce background noise.
Machine Learning Research: Benchmark and evaluate speech AI algorithms.
Coverage
Geographic Coverage: Telugu-speaking regions worldwide.
Time Range: Varies depending on the dataset release and recording period.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| audio_file | String | Audio file name or path | WAV, OBB, MP3 file |
| language | String | Language of the recording | Telugu |
| channel_type | String | Recording channel configuration | Dual-Channel |
| duration_seconds | Float | Length of the recording in seconds | Positive numeric value |
| sample_rate | Integer | Audio sampling frequency | e.g., 16000 Hz, 44100 Hz, 48000 Hz |
| bit_depth | Integer | Audio bit depth | 16-bit, 24-bit |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£44,800
Download Dataset in AUDIO Format
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