MODALITY corpus - SPEAKER 32 - SEQUENCE S5

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: SEQUENCE S5 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）是英语词汇语音录制类多模态数据库之一，包含超过30小时的多模态录制数据。该数据库收录高分辨率、高帧率立体视频流，以及由麦克风阵列与笔记本麦克风采集的音频信号。本语料库可用于开发视听语音识别（Audio-Visual Speech Recognition, AVSR）系统，因每一段语音语段均带有标注；带噪环境下的录制数据可用于测试语音识别系统的鲁棒性。其语言素材基于遥控器操控场景，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操控相关的动词和名词。说话者需将这些词汇以单个词汇及词汇序列的形式读出，每位说话者对应12个录制会话。其中半数会话于安静环境下录制，剩余半数则包含三类干扰信号：交通噪声、babble背景噪声与工厂噪声。该语料库共收录42位说话者的录制数据，其中男性33位，女性9位。参与录制的人员包括：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名母语为英语的说话者。本数据集包含编号为SPEAKER 32的说话者的录制数据与视觉特征：性别：女性，母语使用者：是，年龄：44岁。测试素材：SEQUENCE S5。所有说话者的全部录制数据均可通过http://www.modality-corpus.org/ 获取。语料库样本帧（SPEAKER 32）。由于该语料库数据体量庞大（总数据量约2.5 TB），每位说话者的录制数据均被打包为独立的压缩文件，单个文件大小约为4-7 GB。录制数据按照说话者的语言能力分为两组：A组共17位说话者，均为母语使用者；非母语使用者（波兰籍）则被归入B组，共计25位说话者。音频文件采用波形音频文件格式（Waveform Audio File Format, .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（Matroska Multimedia Container Format, .mkv），其中封装了以100 fps帧率采集的1080p分辨率视频流，该视频流经h.264编解码器（采用High 4:4:4配置文件）压缩编码。.lab文件为文本文件，用于记录音频文件中词汇的位置信息，遵循HTK标注格式。.lab文件的每一行均包含起始时间、结束时间（单位为100纳秒）以及对应的实际标注，例如：1239620000 1244790000 FIVE，代表单词"five"出现在音频的123.962秒至124.479秒区间。每个录制数据对应的逐词信噪比（Signal-to-Noise Ratio, SNR）计算值也一并包含在压缩文件中。