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1,796 Hours - German Speech Data by Mobile Phone German audio data captured by mobile phone, 1,796 hours in total, recorded by 3,442 German native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data can be used for automatic speech recognition, machine translation, and voiceprint recognition. German Germany Mobile phone Reading Sample
52,483 Shanghai Dialect Pronunciation Dictionary The data contains more than 50,000 entries. All words and pronunciations are produced by Shanghai dialect linguists, including 410 international phonemes and 74 Shanghai phonemes. The pinyin of Shanghai dialect consists of five single tones, namely, yin ping, yin qu, yang qu, yin ru, yang ru, with accurate pronunciation. It can be used in the research and development of Shanghai dialect identification technology. Dictionary Dialect Shanghai Dialect IPA Sample
87,166 Minnan Dialect Pronunciation Dictionary Each entry consists of three parts: words, pinyin, and tones. The dictionary can be used to provide pronunciation reference for sound recording personnel, research, and development of pronunciation recognition technology, etc. Dictionary Minan Dialect Sample
98 Hours - Taiwan Mandarin Speech Data by Mobile Phone_Reading The data collects 204 Taiwan residents with 450 sentences for each speaker. The recorded is rich in content, including economy, entertainment, news, spoken language, numbers, letters, etc., covering general scenes and human-computer interaction scenes. Manual transcription of text to make sure the high accuracy. Recording devices are mainstream Android phones and iPhones. Mandarin TAIWAN Reading Sample
769 Hours - French Speech Data by Mobile Phone The data volumn is 769 hours and is recorded by 1623 French native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones. French France Mobile phone Reading Sample
20 People-English Emotional Speech Data by Microphone English emotional audio data captured by microphone, 20 American native speakers participate in the recording, 2,100 sentences per person; the recorded script covers 10 emotions such as anger, happiness, sadness; the voice is recorded by high-fidelity microphone therefore has high quality; it is used for analytical detection of emotional speech. English USA Emotion Microphone Reading Sample
11,010 People - Chines Digital Speech Data by Mobile Phone Sample
23,349 People Multi-race and Multi-pose Face Images Data 23,349 People Multi-race and Multi-pose Face Images Data. This data includes Asian race, Caucasian race, black race, brown race and Indians. Each subject were collected 29 images under different scenes and light conditions. The 29 images include 28 photos (multi light conditions, multiple poses and multiple scenes) + 1 ID photo. This data can be used for face recognition related tasks. Multi-race Multiple light conditions Multi-pose Sample
5,020 People - Face Recognition Data with Gauze Mask 5,020 People - Face Recognition Data with Gauze Mask, for each subject, 7 images were collected. The dataset diversity includes multiple mask types, multiple ages, multiple light conditions and scenes.This data can be applied to computer vision tasks such as occluded face detection and recognition. Face recognition Face occlusion Frontal face Gause mask Sample
388 Hours - Spanish Speaking English Speech Data by Mobile Phone 891 Spanish native speakers participated in the recording with authentic accent. The recorded script is designed by linguists and cover a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones. The data set can be applied for automatic speech recognition, and machine translation scenes. English Spain Cellphone Reading Sample

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