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Faster Whisper Large V3 Ru Podlodka Int8
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Faster Whisper Large V3 Ru Podlodka Int8

Developed by bzikst
This is a Russian speech recognition model based on the OpenAI Whisper architecture, optimized for Russian speech-to-text tasks and converted to ctranslate2 format for improved inference efficiency.
Speech Recognition OtherOpen Source License:Apache-2.0#Russian speech recognition#Efficient inference#Low-resource optimization
Downloads 29
Release Time : 9/17/2024

Model Overview

This model is a Russian-optimized version of Whisper-large-v3, supporting efficient Russian speech recognition tasks, with quantization enabling operation in resource-constrained environments.

Model Features

Russian optimization
Trained specifically on Russian speech datasets like Podlodka, with improved recognition capabilities for Russian accents and speech characteristics
Efficient inference
Significantly improves inference speed and reduces resource consumption through ctranslate2 conversion and int8 quantization
Multi-dataset training
Incorporates multiple Russian datasets including podlodka_speech, rulibrispeech, and taiga_speech_v2

Model Capabilities

Russian speech-to-text
Long audio processing
Real-time speech recognition

Use Cases

Speech transcription
Automated meeting minutes
Automatically convert Russian meeting recordings into text transcripts
High-accuracy transcript text
Media content subtitling
Automatically generate subtitles for Russian videos/podcasts
Synchronized subtitle file output
Voice assistants
Russian voice command recognition
Implement Russian voice command recognition in smart devices
Low-latency command response
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