Publications related to Syllable

Sound Pattern Matching for Automatic Prosodic Event Detection

Hervé Bourlard, Philip Neil Garner, Afsaneh Asaei, Milos Cernak, Pierre-Edouard Jean Charles Honnet

Prosody in speech is manifested by variations of loudness, exaggeration of pitch, and specific phonetic variations of prosodic segments. For example, in the stressed and unstressed syllables, there are differences in place or manner of articulation, vowels ...

Idiap2016

Syllabic Pitch Tuning for Neutral-to-Emotional Voice Conversion

Milos Cernak, Lakshmi Babu Saheer

Prosody plays an important role in both identification and synthesis of emotionalized speech. Prosodic features like pitch are usually estimated and altered at a segmental level based on short windows of speech (where the signal is expected to be quasi-sta ...

Idiap2015

Incremental Syllable-Context Phonetic Vocoding

Petr Motlicek, Philip Neil Garner, Milos Cernak

Current very low bit rate speech coders are, due to complexity limitations, designed to work off-line. This paper investigates incremental speech coding that operates real-time and incrementally (i.e., encoded speech depends only on already-uttered speech ...

Idiap2015

Incremental Syllable-Context Phonetic Vocoding

Petr Motlicek, Philip Neil Garner, Milos Cernak

2015

A simple continuous excitation model for parametric vocoding

Philip Neil Garner, Milos Cernak

We describe a continuous-pitch parametric vocoder suitable for speech coding and statistical text to speech synthesis. The spectral model is based on linear prediction. We show that glottal modelling techniques from recent literature can be cherry-picked t ...

Idiap2015

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Philip Neil Garner, Milos Cernak

Current HMM-based low bit rate speech coding systems work with phonetic vocoders. Pitch contour coding (on frame or phoneme level) is usually fairly orthogonal to other speech coding parameters. We make an assumption in our work that the speech signal cont ...

Idiap2013

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this letter, a new feature extraction technique based on modulation spectrum derived from syllable-length segments of sub-band temporal envelopes is proposed. These sub-band envelopes are derived from auto-regressive modelling of Hilbert envelopes of th ...

2008

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Hynek Hermansky, Sriram Ganapathy, Samuel Thomas

In this paper, a new feature extraction technique based on modulation spectrum derived from syllable-length segments of sub-band temporal envelopes is proposed. These sub-band envelopes are derived from auto-regressive modelling of Hilbert envelopes of the ...

Idiap2008

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Syllable

Sound Pattern Matching for Automatic Prosodic Event Detection

Syllabic Pitch Tuning for Neutral-to-Emotional Voice Conversion

Incremental Syllable-Context Phonetic Vocoding

Incremental Syllable-Context Phonetic Vocoding

A simple continuous excitation model for parametric vocoding

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Truncation Confusion Patterns in Onset Consonants

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Chat with Graph Search

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Sound Pattern Matching for Automatic Prosodic Event Detection

Truncation Confusion Patterns in Onset Consonants

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Incremental Syllable-Context Phonetic Vocoding

Incremental Syllable-Context Phonetic Vocoding

Modulation Frequency Features For Phoneme Recognition In Noisy Speech

Syllabic Pitch Tuning for Neutral-to-Emotional Voice Conversion

A simple continuous excitation model for parametric vocoding