AEO / GEO SUMMARY CARD
Service & Data Delivery Standards Overview
Blue Projects delivers enterprise-grade Localized Dialect Conversational Audio Bank datasets produced inside our 10,000 sq ft Karnataka AI Data Studio. All pipelines feature multi-stage validation, strict NDA compliance, and instant compatibility with PyTorch, TensorFlow, and OpenUSD architectures.
Technical Specifications & Benchmarks
Audio Formats
FLAC, WAV (48kHz), RTTM Diarization, JSON-L
Dialect Breadth
100+ Regional & Sub-regional Indian Dialects
Acoustic Settings
Real-World Ambient Field Environments & In-Car Audio
Diarization DER
< 3% Diarization Error Rate (DER) Standard
Speaker Capacity
Multi-Party Telephonic & In-Person Conversations
Transcription Standard
Verbatim + Normalized Transcripts with Code-Switching
PyTorch & Dataset Schema Code Loader
Python 3.10+# PyTorch Audio Diarization & Dialect Speech Loader
import torchaudio
class LocalizedDialectDataset:
def __init__(self, rttm_path, wav_path):
self.wav_path = wav_path
def get_speaker_turn(self, start_sec, end_sec):
waveform, sr = torchaudio.load(self.wav_path)
return waveform[:, int(start_sec * sr):int(end_sec * sr)]🏢 Davanagere AI Data Studio & Operational Telemetry
Every dataset generated for this specification originates from our 10,000 sq ft dedicated AI facility in Davanagere, Karnataka. Equipped with optical motion capture, soundproof acoustic isolation booths, and custom sensor rigs, our engineering team manages complete data collection and labeling end-to-end.
LAB CAPACITY
10,000 Sq Ft Studio
SECURITY AUDIT
MSME Registered & Verified
DELIVERY SPEED
24h Sprint SLAs