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Whisper Small Telugu Manohar | ST Studio

Ressources/Whisper Small Telugu Manohar

ModelPrésentéExterne

Whisper Small Telugu Manohar

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

Sourcehuggingface.co/manohar2405/whisper-small-telugu-manohar/tree/cf31582ed87f0b040161ee18c52ab3868cdbfa00

TypeText modelModèle de baseopenai/whisper-smallVersionmodel

Source du modèle

Type: Text model
Taille du fichier: 922 MB
Modèle de base: openai/whisper-small
Version: vmodel
Mis à jour: 28 sept. 2026
Téléchargements: 4
Source: Hugging Face

Description de la source

Finetuned openai/whisper-small on 99 telugu training audio samples from /content/drive/MyDrive/1781705178557-cv-corpus-26.0-2026-06-12-te/cv-corpus-26.0-2026-06-12/te.

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

Evaluation results on 93 audio samples of telugu:

Baseline model (before finetuning) on telugu

Sources

1 source

Hugging FacePrincipalVersion cf31582ed87f0b040161ee18c52ab3868cdbfa00

huggingface.co/manohar2405/whisper-small-telugu-manohar/tree/cf31582ed87f0b040161ee18c52ab3868cdbfa00

Vérifié 22 sept.

Artefacts du modèle

1 artefact

model.safetensors

safetensors · 922 MB · SHA-256 cb41e15da0aa…e225 · Hugging Face

Extraits de sources

2 extraits

Readme22 sept.huggingface.co/manohar2405/whisper-small-telugu-manohar

Word Error Rate (Normalized): 211.709

Word Error Rate (Orthographic): 197.708

Character Error Rate (Normalized): 174.02

Character Error Rate (Orthographic): 229.888

Loss: 2.799

Finetuned model (after finetuning) on telugu

Word Error Rate (Normalized): 73.466
Word Error Rate (Orthographic): 102.292
Character Error Rate (Normalized): 44.25
Character Error Rate (Orthographic): 61.264
Loss: 1.08

--- base_model: openai/whisper-small datasets: - te language: te library_name: transformers license: apache-2.0 model-index: - name: Finetuned openai/whisper-small on telugu results: - task: type: automatic-speech-recognition name: Speech-to-Text dataset: name: Common Voice (telugu) type: common_voice metrics: - type: wer value: 73.466 --- # Finetuned openai/whisper-small on 99 telugu training audio samples from /content/drive/MyDrive/1781705178557-cv-corpus-26.0-2026-06-12-te/cv-corpus-26.0-2026-06-12/te. This model was created from the Mozilla.ai Blueprint: [speech-to-text-finetune](https://github.com/mozilla-ai/speech-to-text-finetune). ## Evaluation results on 93 audio samples of telugu: ### Baseline model (before finetuning) on telugu - Word Error Rate (Normalized): 211.709 - Word Error Rate (Orthographic): 197.708 - Character Error Rate (Normalized): 174.02 - Character Error Rate (Orthographic): 229.888 - Loss: 2.799 ### Finetuned model (after finetuning) on telugu - Word Error Rate (Normalized): 73.466 - Word Error Rate (Orthographic): 102.292 - Character Error Rate (Normalized): 44.25 - Character Error Rate (Orthographic): 61.264 - Loss: 1.08

Note22 sept.huggingface.co/manohar2405/whisper-small-telugu-manohar

Source context: 4 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo manohar2405/whisper-small-telugu-manohar