text stringclasses 7
values |
|---|
Certo è vero. |
Soddisfa il palazzo, sodi- soddisfa uno dei, dei centri del piacere più più remoti, no? |
Eh cosa dire del cibo? |
Inizi a parlare di cibo. |
Ah de dei bambini che utilizzano troppo social media eh |
ma sinceramente mi piacerebbe più parlare di cibo. |
Perché mi è venuto un po' fame. |
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, 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-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, 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, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for Nexdata/Italian_Conversational_Speech_Data_by_Mobile_Phone
Description
This dataset is just a sample of Italian Conversational Speech Data by Mobile Phone(paid dataset).About 700 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.
For more details & to download the rest of the dataset(paid),please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1178?source=Huggingface
Format
16kHz, 16bit, uncompressed wav, mono channel;
Recording Environment
quiet indoor environment, without echo;
Recording content
dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed;
Demographics
About 700 people.
Annotation
annotating for the transcription text, speaker identification and gender
Device
Android mobile phone, iPhone;
Language
Italian
Application scenarios
speech recognition; voiceprint recognition;
Accuracy rate
the word accuracy rate is not less than 98%
Licensing Information
Commercial License
- Downloads last month
- 7