CENSREC-4: An evaluation framework for distant-talking speech recognition in reverberant environments

Takahiro Fukumori*, Takanobu Nishiura, Masato Nakayama, Yuki Denda, Norihide Kitaoka, Takeshi Yamada, Kazumasa Yamamoto, Satoru Tsuge, Masakiyo Fujimoto, Tetsuya Takiguchi, Chiyomi Miyajima, Satoshi Tamura, Tetsuji Ogawa, Shigeki Matsuda, Shingo Kuroiwa, Kazuya Takeda, Satoshi Nakamura

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


We have been distributing a new collection of databases and evaluation tools called CENSREC-4, which is a framework for evaluating distant-talking speech in reverberant environments. The data contained in CENSREC-4 are connected digit utterances as in CENSREC-1. Two subsets are included in the data: "basic data sets" and "extra data sets." The basic data sets are used for evaluating the room impulse response-convolved speech data to simulate the various reverberations. The extra data sets consist of simulated data and corresponding real recorded data. Evaluation tools are presently only provided for the basic data sets and will be delivered to the extra data sets in the future. The task of CENSREC-4 with a basic data set appears simple; however, the results of experiments prove that CENSREC-4 provides a challenging reverberation speech-recognition task, in the sense that a traditional technique to improve recognition and a widely used criterion to represent the difficulty of recognition deliver poor performance. Within this context, this common framework can be an important step toward the future evolution of reverberant speech-recognition methodologies.

Original languageEnglish
Pages (from-to)201-210
Number of pages10
JournalAcoustical Science and Technology
Issue number5
Publication statusPublished - 2011


  • Evaluation framework
  • Reverberant speech database
  • Reverberant speech recognition
  • Room impulse response
  • Various recording environments

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


Dive into the research topics of 'CENSREC-4: An evaluation framework for distant-talking speech recognition in reverberant environments'. Together they form a unique fingerprint.

Cite this