Datasets:
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README.md
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@@ -11,10 +11,10 @@ dataset_info:
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dtype: string
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splits:
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- name: train
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num_bytes: 72553370
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num_examples: 590
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download_size: 72159005
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dataset_size: 72553370
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configs:
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- config_name: default
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data_files:
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path: data/train-*
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task_categories:
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- automatic-speech-recognition
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---
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@@ -46,5 +48,5 @@ written consent from the informants. For the initial transcription
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of the audio files, Large-v3 was employed. The transcripts were
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then manually corrected by the field linguist who is also a speaker of this Greek dialect.
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This corpus was used in the
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The paper presented a comprehensive study of automatic speech recognition (ASR) for low-resource Greek varieties, focusing on the unique challenges posed by dialects.
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dtype: string
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splits:
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- name: train
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num_bytes: 72553370
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num_examples: 590
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download_size: 72159005
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+
dataset_size: 72553370
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configs:
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- config_name: default
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data_files:
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path: data/train-*
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task_categories:
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- automatic-speech-recognition
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tags:
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- messenian
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---
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of the audio files, Large-v3 was employed. The transcripts were
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then manually corrected by the field linguist who is also a speaker of this Greek dialect.
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This corpus was used in the Interspeech proceedings paper [Speech Recognition for Greek Dialects: A Challenging Benchmark](https://www.isca-archive.org/interspeech_2024/vakirtzian24_interspeech.html).
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The paper presented a comprehensive study of automatic speech recognition (ASR) for low-resource Greek varieties, focusing on the unique challenges posed by dialects.
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