Now showing items 1-6 of 6

    • An ultra low-power hardware accelerator for automatic speech recognition 

      Yazdani Aminabadi, Reza; Segura Salvador, Albert; Arnau Montañés, José María; González Colás, Antonio María (IEEE Press, 2016)
      Conference report
      Open Access
      Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile segment. Fast and accurate ASR comes at a high energy cost which is not affordable for the tiny power budget of mobile devices. ...
    • Low-power automatic speech recognition through a mobile GPU and a Viterbi accelerator 

      Yazdani Aminabadi, Reza; Segura Salvador, Albert; Arnau Montañés, José María; González Colás, Antonio María (2017-04-12)
      Article
      Open Access
      Automatic speech recognition (ASR) has become a core technology for mobile devices. Delivering real-time and accurate ASR has a huge computational cost, which is challenging to achieve in tightly energy-constrained platforms ...
    • Multi-objective interior design optimization method based on sustainability concepts for post-disaster temporary housing units 

      Hosseini, Seyed Mohammad Amin; Yazdani Aminabadi, Reza; Fuente Antequera, Albert de la (2020-04)
      Article
      Restricted access - publisher's policy
      Temporary housing units (THUs), which are provided after disasters, are crucial in terms of sustainability pillars (economic, social, and environmental). In general, THUs, which are regular houses with minimum space and ...
    • The dark side of DNN pruning 

      Yazdani Aminabadi, Reza; Arnau Montañés, José María; González Colás, Antonio María; Riera Villanueva, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Restricted access - publisher's policy
      DNN pruning has been recently proposed as an effective technique to improve the energy-efficiency of DNN-based solutions. It is claimed that by removing unimportant or redundant connections, the pruned DNN delivers higher ...
    • Ultra low-power, high-performance accelerator for speech recognition 

      Yazdani Aminabadi, Reza (Universitat Politècnica de Catalunya, 2019-07-25)
      Doctoral thesis
      Open Access
      Automatic Speech Recognition (ASR) is undoubtedly one of the most important and interesting applications in the cutting-edge era of Deep-learning deployment, especially in the mobile segment. Fast and accurate ASR comes ...
    • UNFOLD: a memory-efficient speech recognizer using on-the-fly WFST composition 

      Yazdani Aminabadi, Reza; Arnau Montañés, José María; González Colás, Antonio María (Association for Computing Machinery (ACM), 2017)
      Conference report
      Restricted access - publisher's policy
      Accurate, real-time Automatic Speech Recognition (ASR) requires huge memory storage and computational power. The main bottleneck in state-of-the-art ASR systems is the Viterbi search on a Weighted Finite State Transducer ...