Datasets:

google
/

speech_commands

- {"v0.01": {"description": "\nThis is a set of one-second .wav audio files, each containing a single spoken\nEnglish word or background noise. These words are from a small set of commands, and are spoken by a\nvariety of different speakers. This data set is designed to help train simple\nmachine learning models. This dataset is covered in more detail at\n[https://arxiv.org/abs/1804.03209](https://arxiv.org/abs/1804.03209).\n\nVersion 0.01 of the data set (configuration `\"v0.01\"`) was released on August 3rd 2017 and contains\n64,727 audio files.\n\nIn version 0.01 thirty different words were recoded: \"Yes\", \"No\", \"Up\", \"Down\", \"Left\",\n\"Right\", \"On\", \"Off\", \"Stop\", \"Go\", \"Zero\", \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\",\n\"Bed\", \"Bird\", \"Cat\", \"Dog\", \"Happy\", \"House\", \"Marvin\", \"Sheila\", \"Tree\", \"Wow\".\n\n\nIn version 0.02 more words were added: \"Backward\", \"Forward\", \"Follow\", \"Learn\", \"Visual\".\n\nIn both versions, ten of them are used as commands by convention: \"Yes\", \"No\", \"Up\", \"Down\", \"Left\",\n\"Right\", \"On\", \"Off\", \"Stop\", \"Go\". Other words are considered to be auxiliary (in current implementation\nit is marked by `True` value of `\"is_unknown\"` feature). Their function is to teach a model to distinguish core words\nfrom unrecognized ones.\n\nThe `_silence_` class contains a set of longer audio clips that are either recordings or\na mathematical simulation of noise.\n\n", "citation": "\n@article{speechcommandsv2,\n author = { {Warden}, P.},\n title = \"{Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition}\",\n journal = {ArXiv e-prints},\n archivePrefix = \"arXiv\",\n eprint = {1804.03209},\n primaryClass = \"cs.CL\",\n keywords = {Computer Science - Computation and Language, Computer Science - Human-Computer Interaction},\n year = 2018,\n month = apr,\n url = {https://arxiv.org/abs/1804.03209},\n}\n", "homepage": "https://www.tensorflow.org/datasets/catalog/speech_commands", "license": "Creative Commons BY 4.0 License", "features": {"file": {"dtype": "string", "id": null, "_type": "Value"}, "audio": {"sampling_rate": 16000, "mono": true, "_storage_dtype": "struct", "id": null, "_type": "Audio"}, "label": {"num_classes": 31, "names": ["yes", "no", "up", "down", "left", "right", "on", "off", "stop", "go", "zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "bed", "bird", "cat", "dog", "happy", "house", "marvin", "sheila", "tree", "wow", "_silence_"], "names_file": null, "id": null, "_type": "ClassLabel"}, "is_unknown": {"dtype": "bool", "id": null, "_type": "Value"}, "speaker_id": {"dtype": "string", "id": null, "_type": "Value"}, "utterance_id": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "speech_commands", "config_name": "v0.01", "version": {"version_str": "0.1.0", "description": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1626283624, "num_examples": 51093, "dataset_name": "speech_commands"}, "validation": {"name": "validation", "num_bytes": 217204539, "num_examples": 6799, "dataset_name": "speech_commands"}, "test": {"name": "test", "num_bytes": 98979965, "num_examples": 3081, "dataset_name": "speech_commands"}}, "download_checksums": {"https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.01/v0.01_train.tar.gz": {"num_bytes": 1176079446, "checksum": "41e4893c0750e576fae0b9c2bb066f6b93b8b7be7be58c60faf037835e7ccb3b"}, "https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.01/v0.01_validation.tar.gz": {"num_bytes": 153663590, "checksum": "8f9e1dd79699be3b34552960aa03af1e1c24b4ee014ca28d18d01faca72e1dc0"}, "https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.01/v0.01_test.tar.gz": {"num_bytes": 124959719, "checksum": "0ccb217235db6b9e12a3ba3436180bac56d488155ce857614d14584d2b6a3546"}}, "download_size": 1454702755, "post_processing_size": null, "dataset_size": 1942468128, "size_in_bytes": 3397170883}, "v0.02": {"description": "\nThis is a set of one-second .wav audio files, each containing a single spoken\nEnglish word or background noise. These words are from a small set of commands, and are spoken by a\nvariety of different speakers. This data set is designed to help train simple\nmachine learning models. This dataset is covered in more detail at\n[https://arxiv.org/abs/1804.03209](https://arxiv.org/abs/1804.03209).\n\nVersion 0.01 of the data set (configuration `\"v0.01\"`) was released on August 3rd 2017 and contains\n64,727 audio files.\n\nIn version 0.01 thirty different words were recoded: \"Yes\", \"No\", \"Up\", \"Down\", \"Left\",\n\"Right\", \"On\", \"Off\", \"Stop\", \"Go\", \"Zero\", \"One\", \"Two\", \"Three\", \"Four\", \"Five\", \"Six\", \"Seven\", \"Eight\", \"Nine\",\n\"Bed\", \"Bird\", \"Cat\", \"Dog\", \"Happy\", \"House\", \"Marvin\", \"Sheila\", \"Tree\", \"Wow\".\n\n\nIn version 0.02 more words were added: \"Backward\", \"Forward\", \"Follow\", \"Learn\", \"Visual\".\n\nIn both versions, ten of them are used as commands by convention: \"Yes\", \"No\", \"Up\", \"Down\", \"Left\",\n\"Right\", \"On\", \"Off\", \"Stop\", \"Go\". Other words are considered to be auxiliary (in current implementation\nit is marked by `True` value of `\"is_unknown\"` feature). Their function is to teach a model to distinguish core words\nfrom unrecognized ones.\n\nThe `_silence_` class contains a set of longer audio clips that are either recordings or\na mathematical simulation of noise.\n\n", "citation": "\n@article{speechcommandsv2,\n author = { {Warden}, P.},\n title = \"{Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition}\",\n journal = {ArXiv e-prints},\n archivePrefix = \"arXiv\",\n eprint = {1804.03209},\n primaryClass = \"cs.CL\",\n keywords = {Computer Science - Computation and Language, Computer Science - Human-Computer Interaction},\n year = 2018,\n month = apr,\n url = {https://arxiv.org/abs/1804.03209},\n}\n", "homepage": "https://www.tensorflow.org/datasets/catalog/speech_commands", "license": "Creative Commons BY 4.0 License", "features": {"file": {"dtype": "string", "id": null, "_type": "Value"}, "audio": {"sampling_rate": 16000, "mono": true, "_storage_dtype": "struct", "id": null, "_type": "Audio"}, "label": {"num_classes": 36, "names": ["yes", "no", "up", "down", "left", "right", "on", "off", "stop", "go", "zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine", "bed", "bird", "cat", "dog", "happy", "house", "marvin", "sheila", "tree", "wow", "backward", "forward", "follow", "learn", "visual", "_silence_"], "names_file": null, "id": null, "_type": "ClassLabel"}, "is_unknown": {"dtype": "bool", "id": null, "_type": "Value"}, "speaker_id": {"dtype": "string", "id": null, "_type": "Value"}, "utterance_id": {"dtype": "int8", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "speech_commands", "config_name": "v0.02", "version": {"version_str": "0.2.0", "description": null, "major": 0, "minor": 2, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2684381672, "num_examples": 84848, "dataset_name": "speech_commands"}, "validation": {"name": "validation", "num_bytes": 316435178, "num_examples": 9982, "dataset_name": "speech_commands"}, "test": {"name": "test", "num_bytes": 157096106, "num_examples": 4890, "dataset_name": "speech_commands"}}, "download_checksums": {"https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.02/v0.02_train.tar.gz": {"num_bytes": 1944462432, "checksum": "acfc1a9e5f020ef5d20f13bb5c1035dcc19a3cc6d5fd1fe775d99814ce840399"}, "https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.02/v0.02_validation.tar.gz": {"num_bytes": 229117586, "checksum": "868bdecd3dc12276ee55d2aeca5b1f02d913d6f17875181c1bf9d465fa2f7be1"}, "https://s3.amazonaws.com/datasets.huggingface.co/SpeechCommands/v0.02/v0.02_test.tar.gz": {"num_bytes": 112395851, "checksum": "45aedb39cb2c9f03e098a8d5c98350d6d8473c432ad4558fce26c6feb478a812"}}, "download_size": 2285975869, "post_processing_size": null, "dataset_size": 3157912956, "size_in_bytes": 5443888825}}