MODALITY corpus - SPEAKER 10 - COMMANDS C3

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 10: sex: man native speaker: no age: 26 The test material: COMMANDS C3 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 10) 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.265 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）是英语单词录制多模态数据库之一，总时长超过30小时。该数据库包含高分辨率、高帧率立体视频流，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视听语音识别（Audio-Visual Speech Recognition, AVSR）系统，因所有语音片段均带有标注；带噪环境下的录制数据则可用于测试语音识别系统的鲁棒性。
语料内容基于遥控器控制场景，涵盖231个单词，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。录制时，发音者需单独朗读单词或按序列朗读单词，每位发音者共完成12组录制会话，其中一半会话在安静环境中录制，另一半则包含三类干扰信号（交通声、嘈杂人声与工厂噪声）。
该语料库涵盖42位发音者的录制数据（33位男性，9位女性）。参与者包括格但斯克理工大学（Gdańsk University of Technology）多媒体系统系的20名学生与教职员工、格但斯克大学（University of Gdańsk）英美研究学院的5名学生，以及17名以英语为母语的发音者。
本次提供的数据集包含发音者10号的录制数据与视觉特征：性别为男性，非母语使用者，年龄26岁；测试材料为指令集C3。
所有发音者的完整录制数据均可在http://www.modality-corpus.org/ 获取。
语料库样例帧（发音者10号）
由于该语料库总数据量约为2.5 TB，每位发音者的录制数据均打包为单独的ZIP压缩包，单包大小约为4~7 GB。录制数据按发音者的语言能力分为两组：A组（17位发音者）为英语母语使用者；B组（25位发音者）为非母语使用者（均为波兰籍）。
音频文件采用波形音频文件格式（.wav），包含单条PCM音频流，采样率为44.1 kSa/s，位深为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.265编解码器（采用High 4:4:4配置）压缩的1080p分辨率视频流，采集帧率为100 fps。
.lab格式文件为文本文件，记录了音频文件中单词的位置信息，遵循HTK标注格式。该文件的每一行均包含实际标注内容，标注前带有起始与结束时间（单位为100纳秒），例如：1239620000 1244790000 FIVE，表示单词“five”出现在音频的123.962秒至124.479秒区间内。每段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ZIP压缩包中。