MODALITY corpus - SPEAKER 33 - 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 33: sex: man native speaker: yes age: 48 The test material: COMMANDS C1 All recordings for all speakers are available at http://www.modality-corpus.org/ Sample still from the corpus(SPEAKER 33) 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）是一款面向英语单词录制的多模态数据库，总时长超过30小时。该数据库包含高分辨率、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。
由于所有语音片段均带有标注，该语料库可用于开发音频视觉语音识别（Audio-Visual Speech Recognition, AVSR）系统；带噪录制样本则可用于测试语音识别系统的鲁棒性。
该语料的语言素材基于遥控器操控场景，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操控相关的动词和名词。录制时由说话者以独立单词或单词序列的形式朗读，每位说话者共完成12组录制会话。其中6组会话在安静环境下录制，剩余6组则添加了三类干扰信号：交通噪声、背景人声嘈杂噪声与工厂车间噪声。
该语料库共收录42位说话者的录制数据，其中男性33名，女性9名。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名以英语为母语的说话者。
本次展示的数据集包含33号说话者的录制数据与视觉特征：性别为男性，母语为英语，年龄48岁，测试素材为指令集C1（COMMANDS C1）。
所有说话者的全部录制数据均可通过 http://www.modality-corpus.org/ 获取。语料库样本截图（33号说话者）如下。
鉴于该语料库总数据量约为2.5TB，每位说话者的录制数据均打包为独立的ZIP压缩包，单包大小约为4~7GB。录制数据按照说话者的语言能力分为两组：A组共17人，均为英语母语者；B组共25人，均为波兰籍非英语母语者。
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44.1千次采样每秒（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），内部封装了经h.264编码器（采用High 4:4:4 profile）压缩后的1080p分辨率视频流，采集帧率为100帧每秒（fps）。
.lab文件为文本文件，用于记录音频文件中单词的位置信息，遵循HTK标注格式（HTK Label Format）。.lab文件的每一行均包含实际标注文本，其前导字段为起始与结束时间戳（单位为100纳秒），示例如下：`1239620000 1244790000 FIVE`，该条目表示单词"five"出现在音频的123.962秒至124.479秒区间内。每个录制样本的单词级精确信噪比（SNR）计算结果也一并包含在ZIP压缩包中。