A novel privacy-preserving speech recognition framework using bidirectional LSTM
Utilizing speech as the transmission medium in Internet of things (IoTs) is an effective way to reduce latency while improving the efficiency of human-machine interaction. In the field of speech recognition, Recurrent Neural Network (RNN) has significant
Qingren Wang +4 more
doaj +1 more source
Design and implementation of a user-oriented speech recognition interface: the synergy of technology and human factors [PDF]
The design and implementation of a user-oriented speech recognition interface are described. The interface enables the use of speech recognition in so-called interactive voice response systems which can be accessed via a telephone connection.
Kloosterman, Sietse H.
core +4 more sources
Selection of acoustic modeling unit for Tibetan speech recognition based on deep learning [PDF]
The selection of the speech recognition modeling unit is the primary problem of acoustic modeling in speech recognition, and different acoustic modeling units will directly affect the overall performance of speech recognition.
Gong Baojia +4 more
doaj +1 more source
Streaming End-to-End Target-Speaker Automatic Speech Recognition and Activity Detection
Automatic speech recognition of a target speaker in the presence of interfering speakers remains a challenging issue. One approach to tackle this problem is target-speaker speech recognition, which conditions the recognition process on an embedding that ...
Takafumi Moriya +4 more
doaj +1 more source
Recognition of English speech – using a deep learning algorithm
The accurate recognition of speech is beneficial to the fields of machine translation and intelligent human–computer interaction. After briefly introducing speech recognition algorithms, this study proposed to recognize speech with a recurrent neural ...
Wang Shuyan
doaj +1 more source
Synopsis on Arabic speech recognition
With the advancement and increased usage of intelligible smart devices, researchers have an intensified interest in the field of large-vocabulary speaker-independent continuous speech recognition.
Fawaz S. Al-Anzi, Dia AbuZeina
doaj +1 more source
Multilingual Speech Recognition
The speech-to-speech translation system Verbmobil requires a multilingual setting. This consists of recognition engines in the three languages German, English and Japanese that run in one common framework together with a language identification component which is able to switch between these recognizers.
Waibel, Alex +4 more
openaire +4 more sources
Speech Recognition and Analysis of Electrical Device Control Systems Using Arduino Uno
This study aims to develop an electrical device control system using speech recognition and perform the analysis factors that affect the accuracy of speech recognition. The system used the Arduino Uno as the main control board of the system, an Elechouse'
Dania Eridani +2 more
doaj +1 more source
Optimization of Intelligent English Pronunciation Training System Based on Android Platform
Oral English, as a language tool, is not only an important part of English learning but also an essential part. For nonnative English learners, effective and meaningful voice feedback is very important. At present, most of the traditional recognition and
Qianyu Cao, Hanmei Hao
doaj +1 more source
Unvoiced Speech Recognition Using Tissue-Conductive Acoustic Sensor
We present the use of stethoscope and silicon NAM (nonaudible murmur) microphones in automatic speech recognition. NAM microphones are special acoustic sensors, which are attached behind the talker's ear and can capture not only normal (audible) speech ...
Hiroshi Saruwatari +3 more
doaj +2 more sources

