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3.9K+ Hours Malayalam Single-Channel Audio Podcast
Audio, Speech & Acoustic Datasets
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£29,700
About
Malayalam Single-Channel Podcast Audio Dataset
Description
The Malayalam Single-Channel Podcast Audio Dataset is a high-quality collection of 3,956 Malayalam of Urdu podcast recordings designed for training, fine-tuning, and evaluating speech and language AI systems. The dataset contains single-channel audio featuring natural Malayalam speech captured from podcast recordings, making it suitable for real-world speech processing applications.
This dataset is ideal for Automatic Speech Recognition (ASR), Natural Language Processing (NLP), speech analytics, speaker recognition, speaker diarization, audio transcription, language modeling, conversational AI, voice AI, and machine learning.
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
The dataset includes the following key components:
| Feature | Description |
|---|---|
| Audio Format | High-quality WAV, OBB, MP3 audio files |
| Channel Type | Single-Channel |
| Language | Malayalam |
| Speech Type | Natural podcast conversations and discussions |
| Audio Quality | Clean recordings with natural speaking styles |
| AI Ready | Suitable for speech and language AI model development |
Distribution
The dataset is distributed in an organized directory structure for easy integration into AI and machine learning workflows.
-Format: WAV, MP3, OBB
-Structure: Audio files organized by podcast recordings
Data Volume
-Records: Podcast recordings
-Volume: 3,956 hours
-Channel Configuration: Single-Channel
Usage
This data product is suitable for a wide range of AI and speech technology applications.
-Automatic Speech Recognition (ASR): Train and evaluate speech recognition systems.
-Speech-to-Text: Develop transcription models.
-Conversational AI: Build intelligent virtual assistants and customer support systems.
-Speech Analytics: Analyze customer interactions and speech patterns.
-Machine Learning: Train and benchmark speech-based AI models.
-Natural Language Processing (NLP): Support spoken language understanding and downstream NLP tasks.
-Voice Technology: Develop and evaluate voice-enabled applications.
-Academic Research: Conduct research in speech processing, AI, and computational linguistics.
-Speaker Recognition: Build speaker identification and verification systems.
-Speaker Diarization: Separate multiple speakers in conversations.
Coverage
The dataset covers Malayalam-language call center recordings.
-Geographic Coverage: Malayalam-speaking regions
-Time Range: Not specified
-Demographics: Adult speakers with diverse accents, genders, speaking styles, and podcast topics
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 | Name or path of the audio file | WAV, OBB, MP3 filename |
| language | String | Language of the recording | Malayalam |
| channel_type | String | Audio channel configuration | Single-Channel |
| speaker_count | Integer | Number of speakers in the recording | 1 or more |
| duration_seconds | Float | Audio duration in seconds | Positive numeric value |
| sample_rate | Integer | Audio sampling rate | e.g., 16000, 22050, 44100, 48000 Hz |
| bit_depth | Integer | Audio bit depth | Typically 16 or 24-bit |
| audio_format | String | Audio file format | WAV, OBB, MP3 |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£29,700
Download Dataset in AUDIO Format
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