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Center-of-Advanced-Software-Technologies/
whisper-large-v3-mwa-hy

Name: whisper-large-v3-mwa-hy
Availability: InStock

safetensors

whisper

automatic-speech-recognition

Center-of-Advanced-Software-Technologies/mwa_hy

cc-by-4.0

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Whisper Large v3 - Modern Western Armenian Dialect ASR

This is a Whisper Large v3 model fine-tuned on the Modern Western Armenian Armenian dialect for automatic speech recognition (ASR).
It can transcribe audio in the Modern Western Armenian dialect with high accuracy.

Model Information

Base model: openai/whisper-large-v3
Task: Automatic Speech Recognition (ASR)
Language / Dialect: Modern Western Armenian
Framework versions:
- torch==2.3.1
- transformers==4.43.0

Inference Example

python

import torch
from transformers import pipeline

model = torch.load(
    "model.pth",
    weights_only=False,
)

pipe = pipeline(
    "automatic-speech-recognition",
    model=model,
    tokenizer="openai/whisper-large-v3",
    feature_extractor="openai/whisper-large-v3",
    device="cuda" if torch.cuda.is_available() else "cpu"
)

audio_paths = [
    "example1.wav",
    "example2.wav"
]

for audio_path in audio_paths:
    result = pipe(audio_path)
    print(f"Audio: {audio_paths}")
    print(f"Transcription: {result['text']}")

Example Outputs

Audio: example1.wav
Original sentence: "շարունակել քանի վատ էր վիճակնիս վատ էր չկրցայ դպրոց"
Model transcription: "շարունակել քանի վատ է վիճակնիս վատ էր չի կրցայ դպրոց"

Audio: example2.wav
Original sentence: "Իմ հետս ոչ չէ եղած բայց աս խնդիրը շատ կը լսեմ շրջապատէս"
Model transcription: "իմ հետս ոչ չէ եղած բայց այս խնդիրը շատ կը լսեմ շրջապատս"

Center-of-Advanced-Software-Technologies/whisper-large-v3-mwa-hy

Whisper Large v3 - Modern Western Armenian Dialect ASR

Model Information

Inference Example

Example Outputs

Center-of-Advanced-Software-Technologies/
whisper-large-v3-mwa-hy