公开(公告)号：FI955608A0

公开(公告)日：1995-11-22

申请号：FI955608

申请日：1995-11-22

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08 ,  G10L

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

公开(公告)号：AU675389B2

公开(公告)日：1997-01-30

申请号：AU2104095

申请日：1995-03-21

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

公开(公告)号：CA2161540A1

公开(公告)日：1995-11-09

申请号：CA2161540

申请日：1995-03-21

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

公开(公告)号：AU2104095A

公开(公告)日：1995-11-29

申请号：AU2104095

申请日：1995-03-21

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

公开(公告)号：FI955608A

公开(公告)日：1995-11-22

申请号：FI955608

申请日：1995-11-22

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08 ,  G10L

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network 106 using recorded audio messages 204. To begin the training, the recorded audio messages are converted into a series of audio frames 205 having a fixed duration 213. Then, each audio frame is assigned a phonetic representation 203 and a target acoustic representation 208, where the phonetic representation 203 is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation 208 is a vector of audio information such as pitch and energy. After training, the neural network 106 is used in conversion of text into speech. First, text that is to be convened is translated to a series of phonetic frames 401 of the same form as the phonetic representations 208 and having the fixed duration 213. Then the neural network produces acoustic representations in response to context descriptions 207 that include some of the phonetic frames 401. The acoustic representations are then converted into a speech wave form by a synthesizer 107.

公开(公告)号：EP0710378A4

公开(公告)日：1998-04-01

申请号：EP95913782

申请日：1995-03-21

Applicant: MOTOROLA INC

Inventor： KARAALI ORHAN ,  CORRIGAN GERALD EDWARD ,  GERSON IRA ALAN

IPC: G06F15/18 ,  G06N3/00 ,  G10L13/00 ,  G10L13/08

CPC classification number: G10L13/08 ,  G10L25/30

Abstract: Text may be converted to audible signals, such as speech, by first training a neural network using recorded audio messages (204). To begin the training, the recorded audio messages are converted into a series of audio frames (205) having a fixed duration (213). Then, each audio frame is assigned a phonetic representation (203) and a target acoustic representation, where the phonetic representation (203) is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation is a vector of audio information such as pitch and energy. After training, the neural network is used in conversion of text into speech. First, text that is to be converted is translated to a series of phonetic frames of the same form as the phonetic representations (203) and having the fixed duration (213). Then the neural network produces acoustic representations in response to context descriptions (207) that include some of the phonetic frames. The acoustic representations are then converted into a speech wave form by a synthesizer.