nvidia
/

canary-1b-flash

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+        "timestamp": "2025-06-05T09:39:42.036430+00:00",
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+                    "url": "https://huggingface.co/nvidia/canary-1b-flash",
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+                "modelParameters": {
+                    "task": "automatic-speech-recognition",
+                    "datasets": [
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+                            "ref": "librispeech_asr-7baf0ed9-b50c-5f93-8c23-49a2b8749c19"
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+                            "slice": "dataset: librispeech_asr, split: test, config: other",
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+                            "type": "wer",
+                            "value": 6.15
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+                        {
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+                            "type": "bleu",
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+                            "type": "bleu",
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+                            "type": "bleu",
+                            "value": 33.42
+                        },
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+                            "slice": "dataset: covost2, split: test, config: de_de",
+                            "type": "bleu",
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+                            "type": "bleu",
+                            "value": 41.43
+                        }
+                    ]
+                }
+            },
+            "authors": [
+                {
+                    "name": "nvidia"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "id": "CC-BY-4.0",
+                        "url": "https://spdx.org/licenses/CC-BY-4.0.html"
+                    }
+                }
+            ],
+            "tags": [
+                "nemo",
+                "automatic-speech-recognition",
+                "automatic-speech-translation",
+                "speech",
+                "audio",
+                "Transformer",
+                "FastConformer",
+                "Conformer",
+                "pytorch",
+                "NeMo",
+                "hf-asr-leaderboard",
+                "en",
+                "de",
+                "es",
+                "fr",
+                "dataset:librispeech_asr",
+                "dataset:fisher_corpus",
+                "dataset:Switchboard-1",
+                "dataset:WSJ-0",
+                "dataset:WSJ-1",
+                "dataset:National-Singapore-Corpus-Part-1",
+                "dataset:National-Singapore-Corpus-Part-6",
+                "dataset:vctk",
+                "dataset:voxpopuli",
+                "dataset:europarl",
+                "dataset:multilingual_librispeech",
+                "dataset:mozilla-foundation/common_voice_8_0",
+                "dataset:MLCommons/peoples_speech",
+                "arxiv:2104.02821",
+                "arxiv:2503.05931",
+                "arxiv:1706.03762",
+                "arxiv:2409.13523",
+                "license:cc-by-4.0",
+                "model-index",
+                "region:us"
+            ]
+        }
+    },
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+            "name": "librispeech_asr",
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+                    "name": "librispeech_asr",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/librispeech_asr",
+                        "properties": [
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+                                "value": "automatic-speech-recognition, audio-classification"
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+                                "value": "speaker-identification"
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+                            {
+                                "name": "language",
+                                "value": "en"
+                            },
+                            {
+                                "name": "size_categories",
+                                "value": "100K<n<1M"
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+                                "value": "expert-generated"
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+                                "value": "crowdsourced, expert-generated"
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+                            {
+                                "name": "pretty_name",
+                                "value": "LibriSpeech"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "original"
+                            },
+                            {
+                                "name": "paperswithcode_id",
+                                "value": "librispeech-1"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc-by-4.0"
+                            }
+                        ]
+                    },
+                    "governance": {
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+                            {
+                                "organization": {
+                                    "name": "openslr",
+                                    "url": "https://huggingface.co/openslr"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "LibriSpeech is a corpus of approximately 1000 hours of read English speech with sampling rate of 16 kHz,\nprepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read\naudiobooks from the LibriVox project, and has been carefully segmented and aligned.87"
+                }
+            ]
+        },
+        {
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+                    "name": "National-Singapore-Corpus-Part-1"
+                }
+            ]
+        },
+        {
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+                    "name": "National-Singapore-Corpus-Part-6"
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "vctk-d80444bd-bcc6-5c25-8570-061bb96dae38",
+            "name": "vctk",
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+                {
+                    "type": "dataset",
+                    "bom-ref": "vctk-d80444bd-bcc6-5c25-8570-061bb96dae38",
+                    "name": "vctk",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/vctk",
+                        "properties": [
+                            {
+                                "name": "task_categories",
+                                "value": "automatic-speech-recognition, text-to-speech, text-to-audio"
+                            },
+                            {
+                                "name": "task_ids",
+                                "value": ""
+                            },
+                            {
+                                "name": "language",
+                                "value": "en"
+                            },
+                            {
+                                "name": "size_categories",
+                                "value": "10K<n<100K"
+                            },
+                            {
+                                "name": "annotations_creators",
+                                "value": "expert-generated"
+                            },
+                            {
+                                "name": "language_creators",
+                                "value": "crowdsourced"
+                            },
+                            {
+                                "name": "pretty_name",
+                                "value": "VCTK"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "original"
+                            },
+                            {
+                                "name": "paperswithcode_id",
+                                "value": "vctk"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc-by-4.0"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "CSTR-Edinburgh",
+                                    "url": "https://huggingface.co/CSTR-Edinburgh"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "The CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents."
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "voxpopuli-15fb6343-a710-54f9-842b-3a1b43d6a630",
+            "name": "voxpopuli",
+            "data": [
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+                    "bom-ref": "voxpopuli-15fb6343-a710-54f9-842b-3a1b43d6a630",
+                    "name": "voxpopuli"
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "europarl-7e07ffed-425e-5e05-8847-08a1899f0ac1",
+            "name": "europarl",
+            "data": [
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+                    "bom-ref": "europarl-7e07ffed-425e-5e05-8847-08a1899f0ac1",
+                    "name": "europarl"
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "multilingual_librispeech-f260ef31-1d5d-54fe-8e61-88c397c0b7ce",
+            "name": "multilingual_librispeech",
+            "data": [
+                {
+                    "type": "dataset",
+                    "bom-ref": "multilingual_librispeech-f260ef31-1d5d-54fe-8e61-88c397c0b7ce",
+                    "name": "multilingual_librispeech",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/multilingual_librispeech",
+                        "properties": [
+                            {
+                                "name": "task_categories",
+                                "value": "automatic-speech-recognition, audio-classification"
+                            },
+                            {
+                                "name": "task_ids",
+                                "value": "speaker-identification"
+                            },
+                            {
+                                "name": "language",
+                                "value": "de, es, fr, it, nl, pl, pt"
+                            },
+                            {
+                                "name": "size_categories",
+                                "value": "100K<n<1M"
+                            },
+                            {
+                                "name": "annotations_creators",
+                                "value": "expert-generated"
+                            },
+                            {
+                                "name": "language_creators",
+                                "value": "crowdsourced, expert-generated"
+                            },
+                            {
+                                "name": "pretty_name",
+                                "value": "MultiLingual LibriSpeech"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "original"
+                            },
+                            {
+                                "name": "paperswithcode_id",
+                                "value": "librispeech-1"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc-by-4.0"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "legacy-datasets",
+                                    "url": "https://huggingface.co/legacy-datasets"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish."
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "mozilla-foundation/common_voice_8_0-a994a71f-f9f5-5f65-a3fa-51a56293cd8e",
+            "name": "mozilla-foundation/common_voice_8_0",
+            "data": [
+                {
+                    "type": "dataset",
+                    "bom-ref": "mozilla-foundation/common_voice_8_0-a994a71f-f9f5-5f65-a3fa-51a56293cd8e",
+                    "name": "mozilla-foundation/common_voice_8_0",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0",
+                        "properties": [
+                            {
+                                "name": "task_categories",
+                                "value": "automatic-speech-recognition"
+                            },
+                            {
+                                "name": "annotations_creators",
+                                "value": "crowdsourced"
+                            },
+                            {
+                                "name": "language_creators",
+                                "value": "crowdsourced"
+                            },
+                            {
+                                "name": "pretty_name",
+                                "value": "Common Voice Corpus 8.0"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "extended|common_voice"
+                            },
+                            {
+                                "name": "paperswithcode_id",
+                                "value": "common-voice"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc0-1.0"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "mozilla-foundation",
+                                    "url": "https://huggingface.co/mozilla-foundation"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "\n\t\n\t\t\n\t\tDataset Card for Common Voice Corpus 8.0\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nThe Common Voice dataset consists of a unique MP3 and corresponding text file. \nMany of the 18243 recorded hours in the dataset also include demographic metadata like age, sex, and accent \nthat can help improve the accuracy of speech recognition engines.\nThe dataset currently consists of 14122 validated hours in 87 languages, but more voices and languages are always added. \nTake a look at the Languages page to\u2026 See the full description on the dataset page: https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0."
+                }
+            ]
+        },
+        {
+            "type": "data",
+            "bom-ref": "MLCommons/peoples_speech-f88dc766-1de0-51c6-865d-16930ec19be6",
+            "name": "MLCommons/peoples_speech",
+            "data": [
+                {
+                    "type": "dataset",
+                    "bom-ref": "MLCommons/peoples_speech-f88dc766-1de0-51c6-865d-16930ec19be6",
+                    "name": "MLCommons/peoples_speech",
+                    "contents": {
+                        "url": "https://huggingface.co/datasets/MLCommons/peoples_speech",
+                        "properties": [
+                            {
+                                "name": "task_categories",
+                                "value": "automatic-speech-recognition"
+                            },
+                            {
+                                "name": "task_ids",
+                                "value": ""
+                            },
+                            {
+                                "name": "language",
+                                "value": "en"
+                            },
+                            {
+                                "name": "size_categories",
+                                "value": "1T<n"
+                            },
+                            {
+                                "name": "annotations_creators",
+                                "value": "crowdsourced, machine-generated"
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+                            {
+                                "name": "language_creators",
+                                "value": "crowdsourced, machine-generated"
+                            },
+                            {
+                                "name": "pretty_name",
+                                "value": "People's Speech"
+                            },
+                            {
+                                "name": "source_datasets",
+                                "value": "original"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: clean {\"split\": \"train\", \"path\": \"clean/train-*\"}, {\"split\": \"validation\", \"path\": \"clean/validation-*\"}, {\"split\": \"test\", \"path\": \"clean/test-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: clean_sa {\"split\": \"train\", \"path\": \"clean_sa/train-*\"}, {\"split\": \"validation\", \"path\": \"clean_sa/validation-*\"}, {\"split\": \"test\", \"path\": \"clean_sa/test-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: dirty {\"split\": \"train\", \"path\": \"dirty/train-*\"}, {\"split\": \"validation\", \"path\": \"dirty/validation-*\"}, {\"split\": \"test\", \"path\": \"dirty/test-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: dirty_sa {\"split\": \"train\", \"path\": \"dirty_sa/train-*\"}, {\"split\": \"validation\", \"path\": \"dirty_sa/validation-*\"}, {\"split\": \"test\", \"path\": \"dirty_sa/test-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: microset {\"split\": \"train\", \"path\": \"microset/train-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: test {\"split\": \"test\", \"path\": \"test/test-*\"}"
+                            },
+                            {
+                                "name": "configs",
+                                "value": "Name of the dataset subset: validation {\"split\": \"validation\", \"path\": \"validation/validation-*\"}"
+                            },
+                            {
+                                "name": "license",
+                                "value": "cc-by-2.0, cc-by-2.5, cc-by-3.0, cc-by-4.0, cc-by-sa-3.0, cc-by-sa-4.0"
+                            }
+                        ]
+                    },
+                    "governance": {
+                        "owners": [
+                            {
+                                "organization": {
+                                    "name": "MLCommons",
+                                    "url": "https://huggingface.co/MLCommons"
+                                }
+                            }
+                        ]
+                    },
+                    "description": "\n\t\n\t\t\n\t\tDataset Card for People's Speech\n\t\n\n\n\t\n\t\t\n\t\tDataset Summary\n\t\n\nThe People's Speech Dataset is among the world's largest English speech recognition corpus today that is licensed for academic and commercial usage under CC-BY-SA and CC-BY 4.0. It includes 30,000+ hours of transcribed speech in English languages with a diverse set of speakers. This open dataset is large enough to train speech-to-text systems and crucially is available with a permissive license.\n\n\t\n\t\t\n\t\n\t\n\t\tSupported Tasks\u2026 See the full description on the dataset page: https://huggingface.co/datasets/MLCommons/peoples_speech."
+                }
+            ]
+        }
+    ]
+}