Publications associées à Aphasie réceptive

Anesthesia prevents auditory perceptual learning

Michael Herzog, Alain Farron, Elisa Tartaglia, Carl Kristoffer Aberg

BACKGROUND: An auditory perceptual learning paradigm was used to investigate whether implicit memories are formed during general anesthesia. METHODS: Eighty-seven patients who had an American Society of Anesthesiologists physical status of I-III and were s ...

Lippincott, Williams & Wilkins2009

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Hynek Hermansky

This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of higher level auditory neurons, we o ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this paper, we present a spectro-temporal feature extraction technique using sub-band Hilbert envelopes of relatively long segments of speech signal. Hilbert envelopes of the sub-bands are estimated using Frequency Domain Linear Prediction (FDLP). Spect ...

2008

Hilbert Envelope Based Specto-Temporal Features for Phoneme Recognition in Telephone Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this paper, we present a spectro-temporal feature extraction technique using sub-band Hilbert envelopes of relatively long segments of speech signal. Hilbert envelopes of the sub-bands are estimated using Frequency Domain Linear Prediction (FDLP). Spect ...

IDIAP2008

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Hynek Hermansky

This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of auditory mid-brain neurons, we obta ...

2008

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Hynek Hermansky

This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of auditory mid-brain neurons, we obta ...

IDIAP2008

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Hynek Hermansky

We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (F ...

2008

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Hynek Hermansky

We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (F ...

IDIAP2008

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Frequency Domain Linear Prediction (FDLP) provides an efficient way to represent temporal envelopes of a signal using auto-regressive models. For the input speech signal, we use FDLP to estimate temporal trajectories of sub-band energy by applying linear p ...

2008

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

Frequency Domain Linear Prediction (FDLP) provides an efficient way to represent temporal envelopes of a signal using auto-regressive models. For the input speech signal, we use FDLP to estimate temporal trajectories of sub-band energy by applying linear p ...

IDIAP2008

Aphasie réceptive

Anesthesia prevents auditory perceptual learning

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech

Hilbert Envelope Based Specto-Temporal Features for Phoneme Recognition in Telephone Speech

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Graph Chatbot

Chattez avec Graph Search

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Anesthesia prevents auditory perceptual learning

Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Spectro-Temporal Features for Automatic Speech Recognition using Linear Prediction in Spectral Domain

Hilbert Envelope Based Specto-Temporal Features for Phoneme Recognition in Telephone Speech

Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition

Hilbert Envelope Based Spectro-Temporal Features for Phoneme Recognition in Telephone Speech