Locally normalized filter banks applied to deep neural-network-based robust speech recognition
This letter describes modifications to locally normalized filter banks (LNFB), which
substantially improve their performance on the Aurora-4 robust speech recognition task …
substantially improve their performance on the Aurora-4 robust speech recognition task …
[PDF][PDF] Robustness over time-varying channels in DNN-hmm ASR based human-robot interaction.
This paper addresses the problem of time-varying channels in speech-recognition-based
human-robot interaction using Locally-Normalized Filter-Bank features (LNFB), and training …
human-robot interaction using Locally-Normalized Filter-Bank features (LNFB), and training …
Reconocimiento robusto de voz en sistemas DNN-HMM utilizando parametrización normalizada localmente
JA Fredes Sandoval - 2023 - repositorio.uchile.cl
En esta tesis se describe las modificaciones a la parametrización de bancos de filtros
normalizados localmente que mejoran sustancialmente su rendimiento en la tarea de …
normalizados localmente que mejoran sustancialmente su rendimiento en la tarea de …
[PDF][PDF] The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms.
We describe the ability of LNCC features (Locally Normalized Cepstral Coefficients) to
improve speaker recognition accuracy in highly reverberant environments. We used a …
improve speaker recognition accuracy in highly reverberant environments. We used a …
Exploring the robustness of features and enhancement on speech recognition systems in highly-reverberant real environments
This paper evaluates the robustness of a DNN-HMM-based speech recognition system in
highly-reverberant real environments using the HRRE database. The performance of locally …
highly-reverberant real environments using the HRRE database. The performance of locally …
Robust speech recognition in noisy and reverberant environments using deep neural network-based systems
JE Novoa Ilic - 2018 - repositorio.uchile.cl
In this thesis an uncertainty weighting scheme for deep neural network-hidden Markov
model (DNN-HMM) based automatic speech recognition (ASR) is proposed to increase …
model (DNN-HMM) based automatic speech recognition (ASR) is proposed to increase …