The present paper focuses on the current handling of target features in the unit selection approach basically requiring huge corpora. In the paper there are outlined possible solutions based on measuring (dis)similarity among prosodic patterns. As the start of research, the feasibility of (dis)similarity estimation is examined on several intuitively chosen measures of acoustic signal which are correlated to perceived similarity obtained from a large-scale listening test
In speech synthesis systems based on wave concatenation, us-ing longer units can generate more natur...
Concatenating units of natural speech is one method of speech synthesis1. Most such systems use an i...
Corpus-driven speech synthesis is hampered by the occurrence of occasional glitches which ruin the i...
The paper focuses on the unit selection approach to speech synthesis, discussing drawbacks mainly re...
The present paper focuses on the current handling of target fea-tures in the unit selection approach...
The present paper focuses on the current handling of target features in the unit selection approach ...
The present study investigates relationships between voice similarity ratings made by human listener...
jtf~iss.nus.sg This paper presents recent results using statistics gen-erated by a MMl-supervised ve...
This paper describes a new method for synthesizing speech by concatenating sub-word units from a dat...
This paper proposes to use KLD between context-dependent HMMs as target cost in unit selection TTS s...
This project aims to contribute to current research on the quality of speech synthesis by conductin...
Our goal is to automatically learn a PERCEPTUALLY-optimal target cost function for a unit selection ...
In this paper, a novel method for the selection of synthesis unit is proposed. The monosyllables are...
One approach to the generation of natural-sounding synthesized speech waveforms is to select and con...
In this paper, we present a novel statistical approach to corpus-based speech synthesis. Classically...
In speech synthesis systems based on wave concatenation, us-ing longer units can generate more natur...
Concatenating units of natural speech is one method of speech synthesis1. Most such systems use an i...
Corpus-driven speech synthesis is hampered by the occurrence of occasional glitches which ruin the i...
The paper focuses on the unit selection approach to speech synthesis, discussing drawbacks mainly re...
The present paper focuses on the current handling of target fea-tures in the unit selection approach...
The present paper focuses on the current handling of target features in the unit selection approach ...
The present study investigates relationships between voice similarity ratings made by human listener...
jtf~iss.nus.sg This paper presents recent results using statistics gen-erated by a MMl-supervised ve...
This paper describes a new method for synthesizing speech by concatenating sub-word units from a dat...
This paper proposes to use KLD between context-dependent HMMs as target cost in unit selection TTS s...
This project aims to contribute to current research on the quality of speech synthesis by conductin...
Our goal is to automatically learn a PERCEPTUALLY-optimal target cost function for a unit selection ...
In this paper, a novel method for the selection of synthesis unit is proposed. The monosyllables are...
One approach to the generation of natural-sounding synthesized speech waveforms is to select and con...
In this paper, we present a novel statistical approach to corpus-based speech synthesis. Classically...
In speech synthesis systems based on wave concatenation, us-ing longer units can generate more natur...
Concatenating units of natural speech is one method of speech synthesis1. Most such systems use an i...
Corpus-driven speech synthesis is hampered by the occurrence of occasional glitches which ruin the i...