MODALITY corpus - SPEAKER 32- COMMANDS C1

The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems. The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise). The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers. The dataset consist of recordings and visual features for SPEAKER 32: sex: woman native speaker: yes age: 44 The test material: COMMANDS C1 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 32) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each. The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers). The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.MODALITY语料库（MODALITY corpus）是英语语音录制类多模态数据库之一。该库包含超过30小时的多模态录制内容，涵盖高分辨率、高帧率的立体视频流，以及由麦克风阵列和笔记本电脑麦克风采集的音频信号。 该语料库可用于开发音频-视觉语音识别（AVSR）系统，因每一段语音片段均带有标注。带噪环境下的录制内容可用于测试语音识别系统的鲁棒性。 其语言材料基于遥控器控制场景，涵盖231个词汇，包括数字、月份与星期名称，以及一组与计算机设备控制相关的动词和名词。录制内容由说话者以单独词汇和词汇序列的形式读出，每位说话者对应12个录制会话。其中半数会话在安静环境下录制，剩余半数则包含三类干扰信号：交通噪声、人声嘈杂声与工厂噪声。 该语料库收录了42位说话者的录制内容，其中男性33位、女性9位。参与者包括：格但斯克理工大学多媒体系统系的20名学生与教职员工、格但斯克大学英美研究学院的5名学生，以及17名以英语为母语的人士。 本数据集包含SPEAKER 32的录制内容与视觉特征：性别为女性，母语为英语，年龄44岁。测试材料为COMMANDS C1。 所有说话者的录制内容均可通过http://www.modality-corpus.org/ 获取。 附语料库样本帧（SPEAKER 32）。 由于该语料库总容量约为2.5 TB，每位说话者的录制内容被打包为独立ZIP文件，单个文件大小约为4-7 GB。 录制内容按照说话者的语言能力分为两组：A组包含17位以英语为母语的说话者；非母语使用者（波兰籍）被归入B组，共25位说话者。 音频文件采用波形音频文件格式（.wav），包含单路PCM音频流，采样率为44.1 kSa/s，位深度为16比特。 视频文件采用Matroska多媒体容器格式（.mkv），其中封装了经h.264编解码器（采用High 4:4:4配置文件）压缩的1080p分辨率视频流，采集帧率为100 fps。 .lab文件为文本文件，包含音频文件中词汇的位置信息，遵循HTK标注格式。每一行标注包含起始时间、结束时间（单位为100纳秒）以及实际标签，例如：1239620000 1244790000 FIVE，表示单词"five"出现在音频的123.962秒至124.479秒区间。每个录制内容对应的逐词信噪比（SNR）计算值也包含在ZIP文件中。