Harveenchadha/hindi_base_wav2vec2
Automatic Speech Recognition
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Updated
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YAML Metadata
Warning:
The task_categories "speech-processing" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, other
YAML Metadata
Warning:
The task_ids "automatic-speech-recognition" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering
Statistics
| Language | Source | Type | Duration (in hrs) | Files | Sample rate |
|---|---|---|---|---|---|
| Gujarati | Interspeech 2021 | Train | 39.999 | 22807 | 16000 |
| Gujarati | Interspeech 2021 | Valid | 5 | 3075 | 16000 |
| Gujarati | Interspeech 2021 | Test | 5.25 | 3419 | 8000 |
| Hindi | Interspeech 2021 | Train | 95.05 | 99925 | 16000 |
| Hindi | Interspeech 2021 | Valid | 5.55 | 3843 | 16000 |
| Hindi | Interspeech 2021 | Test | 5.49 | 3897 | 8000 |
| Marathi | Interspeech 2021 | Train | 93.89 | 79432 | 16000 |
| Marathi | Interspeech 2021 | Valid | 5 | 4675 | 16000 |
| Marathi | Interspeech 2021 | Test | 0.667 | 636 | 8000 |
| Odia | Interspeech 2021 | Train | 94.5 | 59782 | 16000 |
| Odia | Interspeech 2021 | Valid | 5.49 | 3471 | 16000 |
| Odia | Interspeech 2021 | Test | 5.49 | 4420 | 8000 |
| Tamil | Interspeech 2021 | Train | 39.98 | 39119 | 16000 |
| Tamil | Interspeech 2021 | Valid | 5 | 3081 | 16000 |
| Tamil | Interspeech 2021 | Test | 4.41 | 2609 | 8000 |
| Telugu | Interspeech 2021 | Train | 39.99 | 44874 | 16000 |
| Telugu | Interspeech 2021 | Valid | 4.99 | 3033 | 16000 |
| Telugu | Interspeech 2021 | Test | 4.39 | 2549 | 8000 |
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