Personne
Sree Hari Krishnan Parthasarathi
Cette personne n’est plus à l’EPFL
Publications associées (21)
Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
This paper investigates robust privacy-sensitive audio features for speaker diarization in multiparty conversations: ie., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone scenario ...
2013Wordless Sounds: Robust Speaker Diarization using Privacy-Preserving Audio Representations
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
This paper investigates robust privacy-sensitive audio features for speaker diarization in multiparty conversations: ie., a set of audio features having low linguistic information for speaker diarization in a single and multiple distant microphone scenario ...
Idiap2012Privacy-Sensitive Audio Features for Conversational Speech Processing
Sree Hari Krishnan Parthasarathi
The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...
Ecole Polytechnique Fédérale de Lausanne2011Privacy-Sensitive Audio Features for Conversational Speech Processing
Sree Hari Krishnan Parthasarathi
The work described in this thesis takes place in the context of capturing real-life audio for the analysis of spontaneous social interactions. Towards this goal, we wish to capture conversational and ambient sounds using portable audio recorders. Analysis ...
EPFL2011Privacy-Sensitive Audio Features for Speech/Nonspeech Detection
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
The goal of this paper is to investigate features for speech/nonspeech detection (SND) having ``minimal'' linguistic information from the speech signal. Towards this, we present a comprehensive study of privacy-sensitive features for SND in multiparty conv ...
Idiap2011Privacy-Sensitive Audio Features for Speech/Nonspeech Detection
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
The goal of this paper is to investigate features for speech/nonspeech detection (SND) having low linguistic information from the speech signal. Towards this, we present a comprehensive study of privacy-sensitive features for SND in multiparty conversation ...
2011Robustness of Group Delay Representations for Noisy Speech Signals
Sree Hari Krishnan Parthasarathi
This paper demonstrates the robustness of group delay based features to additive noise. First, we analytically show the robustness of group delay based represen- tations. The analysis makes use of the fact that, for minimum-phase signals, the group delay f ...
2011LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
We present a comprehensive study of linear prediction residual for speaker diarization on single and multiple distant microphone conditions in privacy-sensitive settings, a requirement to analyze a wide range of spontaneous conversations. Two representatio ...
Idiap2011LP Residual Features for Robust, Privacy-Sensitive Speaker Diarization
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
We present a comprehensive study of linear prediction residual for speaker diarization on single and multiple distant microphone conditions in privacy-sensitive settings, a requirement to analyze a wide range of spontaneous conversations. Two representatio ...
2011Evaluating the Robustness of Privacy-Sensitive Audio Features for Speech Detection in Personal Audio Log Scenarios
Hervé Bourlard, Daniel Gatica-Perez, Sree Hari Krishnan Parthasarathi
Personal audio logs are often recorded in multiple environments. This poses challenges for robust front-end processing, including speech/nonspeech detection (SND). Motivated by this, we investigate the robustness of four different privacy-sensitive feature ...
Idiap2010