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Whisper Hindi2Hinglish Swift

Developed by Oriserve
A Hindi-Hinglish mixed speech recognition model optimized based on the Whisper architecture, specifically designed for Indian accents and noisy environments
Downloads 496
Release Time : 1/7/2025

Model Overview

This model is a fine-tuned version of Whisper-base, focusing on transcribing Hindi speech into colloquial Hindi-English mixed text, suitable for speech recognition scenarios in India

Model Features

Hindi-English mixed language support
Added capability to transcribe audio into colloquial Hindi-English mixed text, reducing the probability of grammatical errors
Noise environment optimization
Specially optimized for common background noise environments in India, improving recognition accuracy in noisy scenarios
Hallucination suppression
Minimizes transcription hallucinations through training techniques, enhancing the accuracy of output text
Dynamic layer freezing technology
Adopts innovative training techniques for rapid convergence and efficient fine-tuning

Model Capabilities

Hindi speech recognition
Hindi-English mixed text generation
Speech transcription in noisy environments
Long audio processing

Use Cases

Speech transcription services
Customer service call transcription
Transcribing customer service call content in India into text records
Maintains high recognition accuracy in noisy environments
Meeting minutes
Automatically generating Hindi-English mixed meeting summaries
Supports multi-speaker dialogue scenarios
Voice assistants
Localized voice command recognition
Providing more accurate voice command recognition for users in India
Supports Hindi-English mixed colloquial expressions
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