Search Results - "Heracleous, Panikos"

Refine Results
  1. 1

    A comprehensive study on bilingual and multilingual speech emotion recognition using a two-pass classification scheme by Heracleous, Panikos, Yoneyama, Akio

    Published in PloS one (15-08-2019)
    “…Emotion recognition plays an important role in human-computer interaction. Previously and currently, many studies focused on speech emotion recognition using…”
    Get full text
    Journal Article
  2. 2

    Analysis and Recognition of NAM Speech Using HMM Distances and Visual Information by Heracleous, Panikos, Tran, Viet-Anh, Nagai, Takayuki, Shikano, Kiyohiro

    “…Non-audible murmur (NAM) is an unvoiced speech signal that can be received through the body tissue with the use of special acoustic sensors (i.e., NAM…”
    Get full text
    Journal Article
  3. 3

    Unvoiced speech recognition using tissue-conductive acoustic sensor by HERADEOUS, Panikos, KAINO, Tomomi, SARUWATARI, Hiroshi, SHIKANO, Kiyohiro

    “…We present the use of stethoscope and silicon NAM (nonaudiblemurmur) microphones in automatic speech recognition. NAMmicrophones are special acoustic sensors,…”
    Get full text
    Journal Article
  4. 4

    Using Body-Conducted Acoustic Sensors for Human-Robot Communication in Noisy Environments by Heracleous, Panikos, Ishi, Carlos T., Miyashita, Takahiro, Ishiguro, Hiroshi, Hagita, Norihiro

    “…In this study, the use of alternative acoustic sensors in human-robot communication is investigated. In particular, a Non-Audible Murmur (NAM) microphone was…”
    Get full text
    Journal Article
  5. 5

    Combining laser range finders and local steered response power for audio monitoring by Even, J., Ishi, C., Heracleous, P., Miyashita, T., Hagita, N.

    “…This paper presents an audio monitoring system for detecting and identifying people engaged in a conversation. The proposed method is hands-free as it uses a…”
    Get full text
    Conference Proceeding
  6. 6

    Speech emotion recognition in noisy and reverberant environments by Heracleous, Panikos, Yasuda, Keiji, Sugaya, Fumiaki, Yoneyama, Akio, Hashimoto, Masayuki

    “…The current study is focused on automatic speech emotion recognition, and particularly on the effect of additive noise and reverberation on speech emotion…”
    Get full text
    Conference Proceeding
  7. 7

    Exploiting alternative acoustic sensors for improved noise robustness in speech communication by Heracleous, Panikos, Even, Jani, Sugaya, Fumiaki, Hashimoto, Masayuki, Yoneyama, Akio

    Published in Pattern recognition letters (01-09-2018)
    “…•This study is focused on speech communication using body-conducted sensors.•The sensors are evaluated using subjective tests and automatic speech…”
    Get full text
    Journal Article
  8. 8

    A microphone array-based 3-D N-best search algorithm for the simultaneous recognition of multiple sound sources in real environments by Heracleous, P., Nakamura, S., Hikano, K.

    “…Deals with the recognition of distant talking speech and, particularly, with the simultaneous recognition of multiple sound sources. A problem that must be…”
    Get full text
    Conference Proceeding
  9. 9

    Cued Speech automatic recognition in normal-hearing and deaf subjects by Heracleous, Panikos, Beautemps, Denis, Aboutabit, Noureddine

    Published in Speech communication (01-06-2010)
    “…This article discusses the automatic recognition of Cued Speech in French based on hidden Markov models (HMMs). Cued Speech is a visual mode which, by using…”
    Get full text
    Journal Article
  10. 10

    Automatic recognition of speech without any audio information by Heracleous, Panikos, Hagita, Norihiro

    “…This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an…”
    Get full text
    Conference Proceeding
  11. 11

    A pilot study on augmented speech communication based on Electro-Magnetic Articulography by Heracleous, Panikos, Badin, Pierre, Bailly, Gérard, Hagita, Norihiro

    Published in Pattern recognition letters (01-06-2011)
    “…► An Electro-Magnetic Articulography (EMA) device can capture tongue movements accurately. ► Using Hidden Markov models, articulatory movements of…”
    Get full text
    Journal Article
  12. 12

    Analysis of the visual Lombard effect and automatic recognition experiments by Heracleous, Panikos, Ishi, Carlos T., Sato, Miki, Ishiguro, Hiroshi, Hagita, Norihiro

    Published in Computer speech & language (01-01-2013)
    “…► When speech is occurred in noisy environment, Lombard effect appears. ► Recognition rates decrease also because of the presence of Lombard effect. ► The…”
    Get full text
    Journal Article
  13. 13
  14. 14

    HMM-based vowel and consonant automatic recognition in Cued Speech for French by Heracleous, P., Aboutabit, N., Beautemps, D.

    “…In this paper, hidden Markov models (HMM)-based vowel and consonant automatic recognition in cued speech for French are presented. Cued speech is a visual…”
    Get full text
    Conference Proceeding
  15. 15

    Lip Shape and Hand Position Fusion for Automatic Vowel Recognition in Cued Speech for French by Heracleous, P., Aboutabit, N., Beautemps, D.

    Published in IEEE signal processing letters (01-05-2009)
    “…Cued speech is a visual mode of communication that uses handshapes and placements in combination with the mouth movements of speech to make the phonemes of a…”
    Get full text
    Journal Article
  16. 16

    Stochastic modeling and disaggregation of energy-consumption behavior by Heracleous, Panikos, Angkititraku, Pongtep, Takeda, Kazuya

    “…This paper focuses on stochastic modeling and energy disaggregation based on conditional random fields (CRFs) using real-world energy consumption data…”
    Get full text
    Conference Proceeding
  17. 17

    Comparative Study on Spoken Language Identification Based on Deep Learning by Heracleous, Panikos, Takai, Kohichi, Yasuda, Keiji, Mohammad, Yasser, Yoneyama, Akio

    “…Spoken language identification is the process by which the language in a spoken utterance is recognized automatically. Spoken language identification is…”
    Get full text
    Conference Proceeding
  18. 18

    Multi-modal front-end for speaker activity detection in small meetings by Even, Jani, Heracleous, Panikos, Ishi, Carlos, Hagita, Norihiro

    “…Small informal meetings of two to four participants are very common in work environments. For this reason, a convenient way for recording and archiving these…”
    Get full text
    Conference Proceeding
  19. 19

    Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor by Hiroshi Saruwatari, Kiyohiro Shikano, Tomomi Kaino, Panikos Heracleous

    “…We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic…”
    Get full text
    Journal Article
  20. 20

    A novel approach for modeling non-keyword intervals in a keyword spotter exploiting acoustic similarities of languages by Heracleous, Panikos, Shimizu, Tohru

    Published in Speech communication (01-04-2005)
    “…In this paper, we present a new keyword spotting technique. A critical issue in keyword spotting is the explicit modeling of the non-keyword portions. To date,…”
    Get full text
    Journal Article