Multilingual Speech Corpora (22 Scheduled Languages)
High-fidelity studio-grade speech recordings across 22 scheduled Indian languages (Hindi, Tamil, Telugu, Bengali, Kannada, Marathi, Gujarati, etc.) with verified transcripts.
Quality & Precision Benchmarks
SAMPLING RATE
48 kHz / 24-bit
SNR NOISE FLOOR
> 45 dB
WER TARGET
< 4.2%
LANGUAGES COVERED
22 Scheduled Indic
Dataset Taxonomy & Output Structure
audio_flac_48khz (24-bit PCM)
language_code (ISO 639-3)
verbatim_transcript_utf8 (Devanagari/Dravidian)
speaker_demographics (Age, Gender, Region)
Specific Type Tasks & Applications
- • Vernacular ASR Model Training
- • Multilingual Voice Conversational AI
- • Speech-to-Speech Translation Datasets
What Is Right vs What Is Wrong
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: 8kHz compressed phone audio with severe clipping distortion | PASS: 48kHz 24-bit studio FLAC audio with SNR > 45dB |
| FAIL: Machine-translated unverified text transcripts | PASS: Native speaker verified verbatim text & phonetic transcripts |
Files & Telemetry Data Example (Python `torchaudio`)
import torchaudio
# Load Blue Projects Indic Audio Data Type: Multilingual Speech Corpora (22 Scheduled Languages)
waveform, sr = torchaudio.load("multilingual-speech-corpus_sample.flac")
print("Loaded Audio Sample Rate:", sr, "Hz | Shape:", waveform.shape)
Why Blue Projects for Multilingual Speech Corpora (22 Scheduled Languages)?
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