EP1952388A1 - Systeme et un procede de synthese vocale par concatenation d'unites acoustiques - Google Patents
Systeme et un procede de synthese vocale par concatenation d'unites acoustiquesInfo
- Publication number
- EP1952388A1 EP1952388A1 EP06808137A EP06808137A EP1952388A1 EP 1952388 A1 EP1952388 A1 EP 1952388A1 EP 06808137 A EP06808137 A EP 06808137A EP 06808137 A EP06808137 A EP 06808137A EP 1952388 A1 EP1952388 A1 EP 1952388A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- acoustic units
- candidate
- candidate acoustic
- units
- criteria
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L13/00—Speech synthesis; Text to speech systems
- G10L13/02—Methods for producing synthetic speech; Speech synthesisers
- G10L13/033—Voice editing, e.g. manipulating the voice of the synthesiser
Definitions
- the present invention relates to a system and method for voice synthesis by concatenating acoustic units.
- a text-to-speech string from the text includes the steps of
- phonetic transcription transforming the linguistic information into a phonetic string comprising a series of target acoustic units
- selection of the candidate acoustic units that is to say selection of the fragments of pre-recorded words that will be used for the synthesis
- the quality of the sound signal depends essentially on the choice of candidate acoustic units: it is a question of using the most appropriate fragments of words to obtain a "natural" sound signal.
- the selection of candidate acoustic units is based on a Viterbi algorithm. This determines the optimal sequence of the acoustic units to be used by calculating the optimal path in a graph, whose nodes are the candidate acoustic units and the arcs the transitions between the candidate acoustic units.
- the path is optimal in the sense of minimizing the sum of the costs associated with the nodes and arcs that make up the path.
- the cost associated with a candidate acoustic unit, node of the graph is called target cost and measures the adequacy between the candidate acoustic unit and the target acoustic unit.
- the cost associated with a transition, the arc of the graph is called the concatenation cost and measures the quality of the concatenation between the two candidate units that it links.
- US Patent Application 2003/0229494 RUTTEN and AL. proposes to involve an operator who, by successive iteration, adjusts the quality of the sentence produced.
- the method proposed for this request therefore consists of selecting, in a conventional manner, a series of candidate acoustic units, to make the operator thus listen to the sentence thus produced by the selection module, and then to adjust the parameters of the selection beforehand. relaunch a selection, ...
- the method and voice synthesis system proposed by this application have the disadvantage of requiring the operator to intervene on the parameters of the selection to obtain a solution.
- these parameters such as, for example, the parameters of the cost functions, do not always have direct and intuitive links with the result obtained. This requires, therefore, on the part of the operator, a long learning before being able to use such a system effectively.
- the object of the invention is therefore to remedy these drawbacks by proposing a system and a method of voice synthesis that are easy to implement.
- the object of the invention is a voice synthesis system by concatenation of acoustic units comprising:
- phonetic transcription means able to generate a series of target acoustic units, representative of the text to be synthesized
- each candidate acoustic unit comprising a prerecorded speech fragment
- preselection means capable of producing at least one stream of candidate acoustic units, each stream being preselected on the basis of a minimization of its overall cost, said overall cost being the sum of cost functions which determine the cost between each target acoustic unit and the candidate acoustic units and cost functions of the transitions between two candidate acoustic units, and
- interface means capable of enabling an operator to evaluate the auditory quality of each stream of preselected candidate acoustic units, characterized in that the preselection means are capable of producing a plurality of candidate acoustic unit streams having the best overall costs, and in that the interface means are able to allow an operator to compare the flow of preselected acoustic units and choose the flow whose auditory quality seems best.
- the preselection means uses an N-best algorithm to preselect the plurality of candidate acoustic unit streams
- the interface means comprise filtering means able to eliminate, from phonetic criteria, a subset of candidate acoustic unit streams from the plurality of preselected candidate acoustic unit streams;
- the phonetic criteria include, alone or in combination, criteria for the prohibition of the presence of an acoustic unit, the criteria for prohibiting the presence of a concatenation between two acoustic units, and criteria for prohibiting concatenation on a transition.
- Another object of the invention is a method of voice synthesis by concatenation of acoustic units comprising a prior step of storing candidate acoustic units, each candidate acoustic unit comprising a prerecorded speech fragment, and said method further comprising the steps from:
- each stream being preselected on the basis of minimizing its overall cost, said overall cost being the sum of cost functions which determine the cost between each target acoustic unit and the candidate acoustic units and cost functions of the transitions between two candidate acoustic units, and - evaluation by an operator of the auditory quality of each stream, and said method is characterized in that
- the preselection step is capable of producing a plurality of preselected candidate acoustic unit streams having the best overall costs
- the evaluation step consists, for the operator, in comparing the flow of preselected acoustic units and in choosing the flow whose auditory quality seems to him the best.
- the preselection step uses an N-best algorithm to preselect the plurality of candidate acoustic unit streams
- the evaluation step comprises a filtering step, based on phonetic criteria, capable of eliminating a subset of candidate acoustic unit streams from the plurality of preselected candidate acoustic unit streams;
- the phonetic criteria include, alone or in combination, criteria for the prohibition of the presence of an acoustic unit, the criteria for prohibiting the presence of a concatenation between two acoustic units, and criteria for prohibiting concatenation on a transition.
- Another object is a computer program product comprising program code instructions recorded on a computer readable medium, for implementing the speech synthesis method when said program is running on a computer.
- Another object is a computer-readable recording medium on which a computer program is recorded.
- FIG. 1 is a simplified diagram of a voice synthesis system according to the invention
- FIG. 2 is a flowchart of the method according to a preferred embodiment of the invention.
- FIG. 3 is a preselection diagram of the candidate acoustic units.
- FIG. 4 is a diagram of an interface screen with the voice synthesis system operator according to a preferred embodiment of the invention.
- a voice synthesis system 1 is intended to transform a text 2 into a sound stream 3.
- the text 2 is entered in the system 1 via input means 4 which transforms it into a file, typically the UNICODE standard.
- This file is processed by language processing means 5 for extracting text relevant information for synthesis by a linguistic analysis of the text.
- This linguistic information is used by the phonetic transcription means 6.
- This transcription not necessarily unique, is in the form of a series of target acoustic units, possibly augmented with additional information such as prosodic instructions or grammatical categories.
- the voice synthesis system 1 also comprises means 7 for storing candidate acoustic units, typically in the form of a database.
- candidate acoustic units mainly comprise prerecorded speech fragments. These fragments can correspond to phonemes, diphones, syllables, ...
- Each candidate acoustic unit represents a sound variation of a basic acoustic unit, for example variations of length, of timbre, ...
- the means 7 storage can contain more than 100,000 candidate acoustic units.
- the acoustic units will be assumed to be diphones.
- the storage means 7 are connected to preselection means 8 whose object is to produce at least one stream of candidate acoustic units.
- Each stream of candidate acoustic units is representative of the sequence of target acoustic units.
- a speech synthesis system produces only a single stream of acoustic units.
- An algorithm commonly used to produce this single stream is the Viterbi algorithm which minimizes the overall cost, the sum of the target costs and transition costs for the candidate acoustic units and the transitions of this stream.
- the preselection means 8 do not use the Viterbi algorithm since it only provides a single stream, the one having the best overall cost.
- the stream sequence produced by the preselection means 8 is the result of an N-best type algorithm which provides an ordered sequence of N streams whose first stream corresponds to the solution of the Viterbi algorithm. .
- the preselection means 8 are connected to interface means 9. These are connected to sound reproduction means 10 thus allowing an operator to listen, on demand, one of the flow of preselected acoustic units, and thus determine the one with the best hearing quality.
- the interface means 9 are also connected to viewing and input means 11 enabling the operator to view and select the different preselected flows.
- these interface means 9 comprise means 12 for filtering. These are adapted so that the operator, by using phonetic criteria, can eliminate subsets of flows among the preselected flows so as to limit the number of plays and comparisons to be made to choose the best flow. The operation of this system will now be explained with reference to FIG.
- step 20 The process starts in step 20.
- This linguistic information is used at 23 to classically produce a series of target acoustic units.
- a number N of streams of candidate acoustic units is selected at 24.
- FIG. 3 for the suite of four target acoustic units, is shown at 31 the set of possible graphs whose candidate acoustic units are the nodes 10-1, 10-2, 11-1, ...
- the stream 32 corresponds to the first solution. It corresponds to the flow of candidate acoustic units 10-1, 11-2, 12-1, 13-1.
- the stream 33 corresponds to the second solution. It is composed of candidate acoustic units 10-2, 11-1, 12-3, 13-3.
- All N preselected streams is stored in memory and made available to the user.
- a filter editing step 28 is optionally inserted into the listen / select loop.
- FIG. 40 For example, a simplified diagram of an interface screen is shown in FIG.
- the stream currently processed and listened to by the operator is represented at 40 with the following of the selected candidate acoustic units.
- buttons 41 and 42 By the use of the buttons 41 and 42, the operator switches to the previous flow or the next flow. He can also choose one of the streams he has already listened to and retained in the window 43.
- Line 47 summarizes all the filters used.
- filtering operations such as removing a concatenation correspond to a direct auditory analysis of the flows. It suffices to listen to a stream with such a concatenation, to notice that it is wrong, and thus to decide to eliminate all flows with this concatenation.
- This speech synthesis method can be implemented by a computer program running on a workstation type computer. This computer program is saved on a data medium readable by this computer.
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Machine Translation (AREA)
- Document Processing Apparatus (AREA)
- Circuit For Audible Band Transducer (AREA)
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR0510831A FR2892555A1 (fr) | 2005-10-24 | 2005-10-24 | Systeme et procede de synthese vocale par concatenation d'unites acoustiques |
| PCT/FR2006/002114 WO2007048891A1 (fr) | 2005-10-24 | 2006-09-14 | Systeme et un procede de synthese vocale par concatenation d'unites acoustiques |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP1952388A1 true EP1952388A1 (fr) | 2008-08-06 |
| EP1952388B1 EP1952388B1 (fr) | 2009-04-01 |
Family
ID=36013299
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP06808137A Active EP1952388B1 (fr) | 2005-10-24 | 2006-09-14 | Systeme et procede de synthese vocale par concatenation d'unites acoustiques |
Country Status (6)
| Country | Link |
|---|---|
| EP (1) | EP1952388B1 (fr) |
| AT (1) | ATE427545T1 (fr) |
| DE (1) | DE602006006094D1 (fr) |
| ES (1) | ES2325132T3 (fr) |
| FR (1) | FR2892555A1 (fr) |
| WO (1) | WO2007048891A1 (fr) |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6363342B2 (en) * | 1998-12-18 | 2002-03-26 | Matsushita Electric Industrial Co., Ltd. | System for developing word-pronunciation pairs |
| JP3728172B2 (ja) * | 2000-03-31 | 2005-12-21 | キヤノン株式会社 | 音声合成方法および装置 |
| US7165030B2 (en) * | 2001-09-17 | 2007-01-16 | Massachusetts Institute Of Technology | Concatenative speech synthesis using a finite-state transducer |
| US20030088416A1 (en) * | 2001-11-06 | 2003-05-08 | D.S.P.C. Technologies Ltd. | HMM-based text-to-phoneme parser and method for training same |
| GB2391143A (en) * | 2002-04-17 | 2004-01-28 | Rhetorical Systems Ltd | Method and apparatus for scultping synthesized speech |
-
2005
- 2005-10-24 FR FR0510831A patent/FR2892555A1/fr not_active Withdrawn
-
2006
- 2006-09-14 WO PCT/FR2006/002114 patent/WO2007048891A1/fr not_active Ceased
- 2006-09-14 DE DE602006006094T patent/DE602006006094D1/de not_active Expired - Fee Related
- 2006-09-14 ES ES06808137T patent/ES2325132T3/es active Active
- 2006-09-14 AT AT06808137T patent/ATE427545T1/de not_active IP Right Cessation
- 2006-09-14 EP EP06808137A patent/EP1952388B1/fr active Active
Non-Patent Citations (1)
| Title |
|---|
| See references of WO2007048891A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP1952388B1 (fr) | 2009-04-01 |
| ATE427545T1 (de) | 2009-04-15 |
| FR2892555A1 (fr) | 2007-04-27 |
| ES2325132T3 (es) | 2009-08-26 |
| WO2007048891A1 (fr) | 2007-05-03 |
| DE602006006094D1 (de) | 2009-05-14 |
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