MODALITY corpus - SPEAKER 32 - 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 32: sex: woman native speaker: yes age: 44 The test material: COMMANDS C3 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）是一款面向英语单词录制的多模态数据库，总录制时长超过30小时。该数据库包含高分辨率、高帧率立体视频流，以及由麦克风阵列与笔记本电脑麦克风采集的音频信号。由于所有语音片段均已标注，该语料库可用于开发视听语音识别（Audio-Visual Speech Recognition, AVSR）系统；带噪环境下的录制内容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、月份与日期名称，以及一组用于计算机设备操控的动词与名词。录制时，说话者需单独朗读单词或单词序列，每位说话者对应12组录制会话。其中一半会话在安静环境下录制，另一半则包含三类干扰噪声：交通噪声、人声混叠噪声与工厂环境噪声。

该语料库涵盖42位说话者的录制内容，其中男性33位、女性9位。参与者背景包括：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名英语母语使用者。

本次数据集包含编号为SPEAKER 32的说话者的录制内容与视觉特征：性别为女性，母语为英语，年龄44岁。测试素材为命令集C3（COMMANDS C3）。所有说话者的录制内容均可通过http://www.modality-corpus.org/获取。附语料库样本截图（SPEAKER 32）。

由于该语料库总数据量约为2.5 TB，每位说话者的录制内容均打包为独立的ZIP压缩包，单包大小约为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位母语使用者；非母语使用者（波兰籍）归入B组，共25人。

音频文件采用波形音频文件格式（Waveform Audio File Format, .wav），包含单路脉冲编码调制（Pulse Code Modulation, PCM）音频流，采样率为44.1千样本每秒（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），其中内嵌的视频流分辨率为1080p，帧率为100帧每秒（fps），经h.264编解码器（采用High 4:4:4配置档）压缩后封装。

.lab后缀文件为文本格式，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）。每个.lab文件的每行均包含起始时间、结束时间（单位为100纳秒）与对应的实际标签，例如：1239620000 1244790000 FIVE，表示单词"five"出现在音频的123.962秒至124.479秒区间内。每个录制内容的逐词信噪比（Signal-to-Noise Ratio, SNR）计算值也包含在对应的ZIP压缩包中。