VOICE RECOGNITION APPARATUS AND METHOD THEREOF

• US 20090299744A1
• Filed: 04/14/2009
• Published: 12/03/2009
• Est. Priority Date: 05/29/2008
• Status: Abandoned Application

• Current Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: TACHIMORI, Mitsuyoshi
• Application Number:
  US12/423,215
• Publication Number:
  US 20090299744A1
• Time in Patent Office: Days
• US Class Current: 704/250
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/142 Hidden Markov Models [HMMs]
• CPC Class Codes: G10L 25/78 Detection of presence or absence of voice signals switching of direction of transmission by voice frequency in two-way loud-speaking telephone systems H04M9/10

Abstract

A voice recognition apparatus determines whether an input sound is a voice segment or a non-voice segment in time series, generates a word model for the voice segment, allocates a predetermined non-voice model for the non-voice segment, connects the word model and the non-voice model in sequence according to the time series of the segments of the input sound corresponding to the respective models and generates a vocalization model, and coordinates the vocalization model with a vocalization ID in one-to-one correspondence, and stores the same.

Claims

1. A voice recognition apparatus comprising:

an input unit configured to input a sound;

a determining unit configured to determine whether an inputted input sound is a voice segment or a non-voice segment in time series;

a generating unit configured to generate a vocalization model by generating a word model for the voice segment, allocating a predetermined non-voice model for the non-voice segment, and connecting the word model and the non-voice model in sequence according to the time series of the segments of the input sound corresponding to the respective models; and

a registering unit configured to store the vocalization model with a vocalization ID in one-to-one correspondence.

2. The apparatus according to claim 1, further comprising:

an editing unit configured to replace a waveform signal of the non-voice segment with a predetermined wave signal to generate an edited waveform signal;

a second registering unit configured to store the vocalization ID of the vocalization model and the edited waveform signal in one-to-one correspondence; and

a regenerating unit configured to call the edited waveform signal corresponding to the vocalization ID specified by a user from the second registering unit and reproducing the same.

3. The apparatus according to claim 1, wherein when a non-voice segment exists at a time before the voice segment whose starting time is the earliest in the input sound, or when the non-voice segment exists at a time after the voice segment whose starting time is the latest in the input sound, the generating unit excludes these non-voice segments and generates the vocalization model.

4. The apparatus according to claim 1, wherein even though a segment is determined as the voice segment, if the length of the segment is shorter than a given time length, the determining unit corrects the determination of the segment as the non-voice segment.

5. The apparatus according to claim 1, wherein even though a segment is determined as the voice segment, if the non-voice segments exist adjacently before and after the segment, the determining unit connects the segment and the non-voice segments before and after the segment and corrects these segments to a block of the non-voice segment.

6. The apparatus according to claim 1, wherein even though a segment is determined as the non-voice segment, if the length of the segment is shorter than a given time length, the determination of the segment is corrected to the voice segment.

7. The apparatus according to claim 1, wherein even though a segment is determined as the non-voice segment, if the voice segments exist adjacently before and after the segment, the determining unit connects the segment and the voice segments before and after the segment and corrects these segments a block of the voice segment.

8. The apparatus according to claim 1, wherein the non-voice model is a sub word indicating the non-voice, and is a sub word which expresses a repetition by at least zero time.

9. The apparatus according to claim 1, wherein the registering unit stores a predetermined object recognition vocabulary, and further includes a voice recognition unit configured to perform voice recognition with the stored vocabulary and the vocalization model as the object recognition vocabularies.

10. A method of voice processing comprising:

inputting a sound;

determining whether an inputted input sound is a voice segment or a non-voice segment in time series;

generating a vocalization model by generating a word model for the voice segment, allocating a predetermined non-voice model for the non-voice segment, and connecting the word model and the non-voice model in sequence according to the time series of the segments of the input sound corresponding to the respective models; and

storing the vocalization model with a vocalization ID in one-to-one correspondence.

11. A voice processing program stored in a computer readable medium, the program realizing functions of;

inputting a sound;

determining whether an inputted input sound is a voice segment or a non-voice segment in time series;

generating a vocalization model by generating a word model for the voice segment, allocating a predetermined non-voice model for the non-voice segment, and connecting the word model and the non-voice model in time series of the segments of the input sound corresponding to the respective models; and

storing the vocalization model with a vocalization ID in one-to-one correspondence.