Speech Recognition in Noisy Environments
Performance Evaluation of CMN for Mel LPC based Speech Recognition in Different Noisy Environments
... distributed speech recognizer for real-world applications by employing Cepstral Mean Normalization (CMN) for robust feature ...noisy environments. To realize this objective, Mel- LP based ...
5
Robust emotional speech recognition based on binaural model and emotional auditory mask in noisy environments
... automatic speech recognition systems degrades in the presence of emotional states and in adverse environments ...(e.g., noisy conditions). This greatly limits the deployment of speech ...
13
Speech recognition in reverberant and noisy environments employing multiple feature extractors and i vector speaker adaptation
... State-of-the-art speech recognition systems perform well in controlled environments, but their performance degrades in realistic acoustical conditions, especially in real as well as simulated ...
13
Automatic recognition of child speech for robotic applications in noisy environments
... Figure 1: The Zeno R25 robot, approx. 60cm tall. tracking from the SceneAnalyzer module, allowing the children to see the tracked skeleton move as they exercised, as shown in Figure 3. Behind the scenes, we had two ...
28
Silicon Technologies for Speaker Independent Speech Processing and Recognition Systems in Noisy Environments
... independent speech recognition problem itself is highly computation intensive, the external environment adds to recognition ...signal speech systems in FPGA and ASIC ...based speech ...
35
Model Compensation Approach Based on Nonuniform Spectral Compression Features for Noisy Speech Recognition
... Most importantly, the new compensation scheme is applica- ble to any conventional model compensation method. The experimental results of the paper show that the new com- pensated models provide very good accuracy in ...
7
Guest Editorial for the special issue on Multi-Microphone Speech Recognition in Everyday Environments
... multi-microphone speech recognition. The backbone is formed by the CHiME-3 Speech Separation and Recognition Challenge and the ensuing special session held at the 2015 IEEE Automatic ...
5
Wavelet Energy-Based Support Vector Machine for Noisy Word Boundary Detection With Speech Recognition Application
... noise-level environments by support vector machine (SVM) using Low-band Wavelet Energy (LWE) and Zero Crossing Rate (ZCR) features is proposed in this ...word recognition system in variable noisy ...
10
Speaker Ensembles Recognition In Different Noisy Environments
... The third class of approaches, C3, reduces mismatches by adjusting parameters in the acoustic models so that they can accurately match various adverse testing conditions. These approaches intend to map the original ...
7
KALAKA-2: a TV Broadcast Speech Database for the Recognition of Iberian Languages in Clean and Noisy Environments
... the noisy-speech condition was far worse than that found for the clean-speech ...to noisy speech produced higher degradation than moving from closed-set to open-set eval- ...using ...
7
Using Adaptation to Improve Speech Transcription Alignment in Noisy and Reverberant Environments
... of speech with imperfect ...available speech and text data, starting from an ini- tial 10 minute manual orthographic speech transcription 2 ...the speech to be matched to any point within an ...
6
A Family of Stereo-Based Stochastic Mapping Algorithms for Noisy Speech Recognition
... A Viterbi decoder that employs a finite state graph is used in this work. The graph is formed by first compiling the 32K pronunciation lexicon, the HMM topology, the decision tree, and the trigram language model into a ...
25
Robust Speech Recognition Using Factorial HMMs for Home Environments
... home environments there are many other kinds of noise such as footsteps, TV sounds, and distant ...clean speech; however, the same can be done in a similar manner for ...and noisy speech ...
9
Real Time Distant Speech Emotion Recognition in Indoor Environments
... time recognition of emotions from distant speech in a variety of rooms with various acoustic configurations and source-to-microphone ...and noisy backgrounds with loud HVAC noise and obtained ...
10
Robust Speech Detection for Noisy Environments
... For this analysis, authors have considered a database consisting of 101.350 hand-labelled files from real conversations between users and real services recorded over GSM mobile phones. This database includes high speaker ...
13
Denoising Convolutional Autoencoders for Noisy Speech Recognition
... Alternatively, we could employ method 2 of Figure 1, and use a network to generate MFCC’s directly. 7. Conclusion In this project, we investigated the use of convolu- tional autoencoders for audio denoising. In our ...
6
Modulation Frequency Features For Phoneme Recognition In Noisy Speech
... machine recognition of phonemes in telephone ...state-of-the-art speech analysis ...phoneme recognition rates, the performance with broad phonetic classes is ...
12
Towards a noisy channel model of dysarthria in speech recognition
... automatic speech recognition is inef- fective at understanding relatively unintelligi- ble speech caused by neuro-motor disabilities collectively called ...during speech of individuals with ...
9
Noisy speech recognition using Kaldi and neural architectures
... I am also grateful to all of those with whom I have worked here in the Speech Processing laboratory. Also, to all those people that I have met during my stay here in Crete. You all have made my stay here a ...
51
Noisy training for deep neural networks in speech recognition
... The advantage of DNNs in modeling state emission dis- tributions, when compared to the conventional GMM, has been discussed in some previous publications, e.g., [1,2]. Although no full consentience exists, researchers ...
14