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[PDF] Top 20 On Distant Speech Recognition for Home Automation

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On Distant Speech Recognition for Home Automation

On Distant Speech Recognition for Home Automation

... participants for the first one and 11 aged or visually impaired people for the second one ...command for home automation in distant speech conditions, in real-time and in ... Voir le document complet

30

The Sweet-Home speech and multimodal corpus for home automation interaction

The Sweet-Home speech and multimodal corpus for home automation interaction

... way for doing ...associating speech data recorded in Distant Speech conditions with home automation ...the home automation network when the person actuated a switch ... Voir le document complet

9

Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges

Development of Automatic Speech Recognition Techniques for Elderly Home Support: Applications and Challenges

... in speech recognition and incorpo- rated in the KALDI toolkit ...smart home equipped with a home automation system including more than 150 sensors and ...The home ... Voir le document complet

13

Distant Speech Processing for Smart Home Comparison of ASR approaches in distributed microphone network for voice command

Distant Speech Processing for Smart Home Comparison of ASR approaches in distributed microphone network for voice command

... new home and users) 2 ...a home automation system must be kept as simple as possible with minimal restrictions on the material to be bought and on where it should be ...segmented speech ... Voir le document complet

33

Using Markov Logic Network for On-line Activity Recognition from Non-Visual Home Automation Sensors

Using Markov Logic Network for On-line Activity Recognition from Non-Visual Home Automation Sensors

... activity recognition come from the computer vision domain ...user’s home is not only raising ethical questions [1], but is also rejected by some users ...smart home since any new object implies ... Voir le document complet

17

Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home

Recognition of Distress Calls in Distant Speech Setting: a Preliminary Experiment in a Smart Home

... of speech technologies in home environment re- quires to address particular challenges due to this specific envi- ronment ...smart home projects considering speech processing in their ... Voir le document complet

7

Speech and Speaker Recognition for Home Automation: Preliminary Results

Speech and Speaker Recognition for Home Automation: Preliminary Results

... stored for each participant for further ...detected speech events were misclassified as everyday life sound, and some noise were misclassified as speech (bell ring, music, ...two speech ... Voir le document complet

11

Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home

Experimental Evaluation of Speech Recognition Technologies for Voice-based Home Automation Control in a Smart Home

... between speech and sounds The detection part of the system is not specifically evaluated because of the lack of time to label all the sound events on the 7 ...232 speech occur- rences which gives a total ... Voir le document complet

8

On-line Human Activity Recognition from Audio and Home Automation Sensors: comparison of sequential and non-sequential models in realistic Smart Homes

On-line Human Activity Recognition from Audio and Home Automation Sensors: comparison of sequential and non-sequential models in realistic Smart Homes

... standard home automation technologies with minimal technical ad- ...activity recognition from home au- tomation sensors ...used for recognition. Indeed, informa- tion provided by ... Voir le document complet

26

A French corpus for distant-microphone speech processing in real homes

A French corpus for distant-microphone speech processing in real homes

... Baseline speech separation ...3.3. Speech recognition We conducted a first speech recognition experiment to serve as a baseline for further use of the ...broadcast speech, ... Voir le document complet

6

Hands-free speech-sound interactions at home

Hands-free speech-sound interactions at home

... Except for the root/main state which activates sub-frames and so is always active, we can select a specific language model built from acceptable sentences given a ...one for each frame and one for ... Voir le document complet

6

Hand shape Coding for HMM-based Consonant Recognition in Cued Speech for French

Hand shape Coding for HMM-based Consonant Recognition in Cued Speech for French

... The French CS cuer was a female French native speaker certified in French CS. She regularly interprets French CS code in schools. The recording has been made in a sound- proof booth, and the image video recording has ... Voir le document complet

5

Advances in deep learning methods for speech recognition and understanding

Advances in deep learning methods for speech recognition and understanding

... intents). For this reason our model was inspired by works in end-to-end speech recognition [51, 7, 22, ...good for classifying sub-phone unit like CD-HMM states, while it may not be suitable ... Voir le document complet

108

Swallowing sound recognition at home using GMM

Swallowing sound recognition at home using GMM

... 9% for subjects aged 65-74 living at home to 28% after 85 years ...As for patients living at home, a study by ques- tionnaire found that 10 to 16% of them had symptoms of dysphagia ... Voir le document complet

7

Closed-loop auditory-based representation for robust speech recognition

Closed-loop auditory-based representation for robust speech recognition

... Two major differences between the closed-loop model and an open-loop procedure can be distinguished: namely, the dynamic range window (DRW) and the gain control. In fact, the[r] ... Voir le document complet

96

Fast Two-Level-Dynamic-Programming Algorithm For Speech Recognition

Fast Two-Level-Dynamic-Programming Algorithm For Speech Recognition

... Results for Level 1(Clustering effect) Figure 3.2: Results for Level 2(Jump and Slope Analyzer effects) We tested the system with several continuously spoken sentences and got similar good speed results and ... Voir le document complet

6

Automatic refinement of hidden Markov models for speech recognition

Automatic refinement of hidden Markov models for speech recognition

... Before pronunciation network generation was performed, a recognizer equipped with TIMIT-based models was applied to the Susan training sentences and the resulting tra[r] ... Voir le document complet

62

Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition

Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition

... [17] for speaker localization and in [9] for speech ...beamfoming, for any number of microphones. In theory, we can use the same network for any number of microphones in the ... Voir le document complet

6

Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss

Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss

... performance for all three speech ...as speech processing goes from word identification over sentence identification to comprehension (Lindblom, 1990; Fontan, Tardieu, et ...on speech ... Voir le document complet

13

Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts

Semantic Similarity for Detecting Recognition Errors in Automatic Speech Transcripts

... promising for our task of detecting semantic outliers in automatic speech ...reason for using corpora of different sizes is that PMI is the only ... Voir le document complet

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