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The utterance structure lies at the heart of Festival. This chapter describes its basic form and the functions available to manipulate it.
14.1 Utterance structure | internal structure of utterances | |
14.2 Utterance types | Type defined synthesis actions | |
14.3 Example utterance types | Some example utterances | |
14.4 Utterance modules | ||
14.5 Accessing an utterance | getting the data from the structure | |
14.6 Features | Features and features names | |
14.7 Utterance I/O | Saving and loading utterances |
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Festival’s basic object for synthesis is the utterance. An represents some chunk of text that is to be rendered as speech. In general you may think of it as a sentence but in many cases it wont actually conform to the standard linguistic syntactic form of a sentence. In general the process of text to speech is to take an utterance which contains a simple string of characters and convert it step by step, filling out the utterance structure with more information until a waveform is built that says what the text contains.
The processes involved in conversion are, in general, as follows
Converting the string of characters into a list of tokens. Typically this means whitespace separated tokesn of the original text string.
identification of general types for the tokens, usually this is trivial but requires some work to identify tokens of digits as years, dates, numbers etc.
Convert each tokens to zero or more words, expanding numbers, abbreviations etc.
Identify the syntactic part of speech for the words.
Chunk utterance into prosodic phrases.
Find the pronucnation of each word from a lexicon/letter to sound rule system including phonetic and syllable structure.
Assign intonation accents to approrpiate syllables.
Assign duration to each phone in the utterance.
Generate tune based on accents etc.
Render waveform from phones, duration and F) target values, this itself may take several steps including unit selection (be they diphones or other sized units), imposition of dsesired prosody (duration and F0) and waveform reconstruction.
The number of steps and what actually happens may vary and is dependent on the particular voice selected and the utterance’s type, see below.
Each of these steps in Festival is achived by a module which will typically add new information to the utterance structure.
An utterance structure consists of a set of items which may be
part of one or more relations. Items represent things like words
and phones, though may also be used to represent less concrete objects
like noun phrases, and nodes in metrical trees. An item contains a set
of features, (name and value). Relations are typically simple lists of
items or trees of items. For example the the Word
relation is a
simple list of items each of which represent a word in the utterance.
Those words will also be in other relations, such as the
SylStructure relation where the word will be the top of a tree
structure containing its syllables and segments.
Unlike previous versions of the system items (then called stream items) are not in any particular relations (or stream). And are merely part of the relations they are within. Importantly this allows much more general relations to be made over items that was allowed in the previous system. This new architecture is the continuation of our goal of providing a general efficient structure for representing complex interrelated utterance objects.
The architecture is fully general and new items and relations may be defined at run time, such that new modules may use any relations they wish. However within our standard English (and other voices) we have used a specific set of relations ass follows.
a list of trees. This is first formed as a list of tokens found in a character text string. Each root’s daughters are the Word’s that the token is related to.
a list of words. These items will also appear as daughters (leaf nodes)
of the Token
relation. They may also appear in the Syntax
relation (as leafs) if the parser is used. They will also be leafs
of the Phrase
relation.
a list of trees. This is a list of phrase roots whose daughters are
the Word's
within those phrases.
a single tree. This, if the probabilistic parser is called, is a syntactic
binary branching tree over the members of the Word
relation.
a list of trees. This links the Word
, Syllable
and
Segment
relations. Each Word
is the root of a tree
whose immediate daughters are its syllables and their daughters in
turn as its segments.
a list of syllables. Each member will also be in a the
SylStructure
relation. In that relation its parent will be the
word it is in and its daughters will be the segments that are in it.
Syllables are also in the Intonation
relation giving links to
their related intonation events.
a list of segments (phones). Each member (except silences) will be leaf
nodes in the SylStructure
relation. These may also be in the
Target
relation linking them to F0 target points.
a list of intonation events (accents and boundaries). These are related
to syllables through the Intonation
relation as leafs on that
relation. Thus their parent in the Intonation
relation is the
syllable these events are attached to.
a list of trees relating syllables to intonation events. Roots of
the trees in Intonation
are Syllables
and their daughters
are IntEvents
.
a single item with a feature called wave
whose value
is the generated waveform.
This is a non-exhaustive list some modules may add other relations and not all utterance may have all these relations, but the above is the general case.
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The primary purpose of types is to define which modules are to be
applied to an utterance. UttTypes
are defined in
‘lib/synthesis.scm’. The function defUttType
defines which
modules are to be applied to an utterance of that type. The function
utt.synth
is called applies this list of module to an utterance
before waveform synthesis is called.
For example when a Segment
type Utterance is synthesized it needs
only have its values loaded into a Segment
relation and a
Target
relation, then the low level waveform synthesis module
Wave_Synth
is called. This is defined as follows
(defUttType Segments (Initialize utt) (Wave_Synth utt)) |
A more complex type is Text
type utterance which requires many
more modules to be called before a waveform can be synthesized
(defUttType Text (Initialize utt) (Text utt) (Token utt) (POS utt) (Phrasify utt) (Word utt) (Intonation utt) (Duration utt) (Int_Targets utt) (Wave_Synth utt) ) |
The Initialize
module should normally be called for all
types. It loads the necessary relations from the input form
and deletes all other relations (if any exist) ready for synthesis.
Modules may be directly defined as C/C++ functions and declared with a Lisp name or simple functions in Lisp that check some global parameter before calling a specific module (e.g. choosing between different intonation modules).
These types are used when calling the function
utt.synth
and individual modules may be called explicitly by
hand if required.
Because we expect waveform synthesis methods to themselves become
complex with a defined set of functions to select, join, and modify
units we now support an addition notion of SynthTypes
like
UttTypes
these define a set of functions to apply
to an utterance. These may be defined using the defSynthType
function. For example
(defSynthType Festival (print "synth method Festival") (print "select") (simple_diphone_select utt) (print "join") (cut_unit_join utt) (print "impose") (simple_impose utt) (simple_power utt) (print "synthesis") (frames_lpc_synthesis utt) ) |
A SynthType
is selected by naming as the value of the
parameter Synth_Method
.
Duration the application of the function utt.synth
there are
three hooks applied. This allows addition control of the synthesis
process. before_synth_hooks
is applied before any modules are
applied. after_analysis_hooks
is applied at the start of
Wave_Synth
when all text, linguistic and prosodic processing have
been done. after_synth_hooks
is applied after all modules have
been applied. These are useful for things such as, altering the volume
of a voice that happens to be quieter than others, or for example
outputing information for a talking head before waveform synthesis
occurs so preparation of the facial frames and synthesizing the waveform
may be done in parallel. (see ‘festival/examples/th-mode.scm’ for
an example use of these hooks for a talking head text mode.)
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A number of utterance types are currently supported. It is easy to add new ones but the standard distribution includes the following.
Text
Raw text as a string.
(Utterance Text "This is an example") |
Words
A list of words
(Utterance Words (this is an example)) |
Words may be atomic or lists if further features need to be specified. For example to specify a word and its part of speech you can use
(Utterance Words (I (live (pos v)) in (Reading (pos n) (tone H-H%)))) |
Note: the use of the tone feature requires an intonation mode that supports it.
Any feature and value named in the input will be added to the Word item.
Phrase
This allows explicit phrasing and features on Tokens to be specified. The input consists of a list of phrases each contains a list of tokens.
(Utterance Phrase ((Phrase ((name B)) I saw the man (in ((EMPH 1))) the park) (Phrase ((name BB)) with the telescope))) |
ToBI tones and accents may also be specified on Tokens but these will only take effect if the selected intonation method uses them.
Segments
This allows specification of segments, durations and F0 target values.
(Utterance Segments ((# 0.19 ) (h 0.055 (0 115)) (@ 0.037 (0.018 136)) (l 0.064 ) (ou 0.208 (0.0 134) (0.100 135) (0.208 123)) (# 0.19))) |
Note the times are in seconds NOT milliseconds. The format of each segment entry is segment name, duration in seconds, and list of target values. Each target value consists of a pair of point into the segment (in seconds) and F0 value in Hz.
Phones
This allows a simple specification of a list of phones. Synthesis
specifies fixed durations (specified in FP_duration
, default 100
ms) and monotone intonation (specified in FP_F0
, default 120Hz).
This may be used for simple checks for waveform synthesizers etc.
(Utterance Phones (# h @ l ou #)) |
Note the function SayPhones
allows synthesis and playing of
lists of phones through this utterance type.
Wave
A waveform file. Synthesis here simply involves loading the file.
(Utterance Wave fred.wav) |
Others are supported, as defined in ‘lib/synthesis.scm’ but are
used internally by various parts of the system. These include
Tokens
used in TTS and SegF0
used by utt.resynth
.
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The module is the basic unit that does the work of synthesis. Within Festival there are duration modules, intonation modules, wave synthesis modules etc. As stated above the utterance type defines the set of modules which are to be applied to the utterance. These modules in turn will create relations and items so that ultimately a waveform is generated, if required.
Many of the chapters in this manual are solely concerned with particular
modules in the system. Note that many modules have internal choices,
such as which duration method to use or which intonation method to
use. Such general choices are often done through the Parameter
system. Parameters may be set for different features like
Duration_Method
, Synth_Method
etc. Formerly the values
for these parameters were atomic values but now they may be the
functions themselves. For example, to select the Klatt duration rules
(Parameter.set 'Duration_Method Duration_Klatt) |
This allows new modules to be added without requiring changes to
the central Lisp functions such as Duration
, Intonation
,
and Wave_Synth
.
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There are a number of standard functions that allow one to access parts of an utterance and traverse through it.
Functions exist in Lisp (and of course C++) for accessing an utterance. The Lisp access functions are
returns a list of the names of the relations currently created in UTT
.
returns a list of all items in RELATIONNAME
in UTT
. This
is nil if no relation of that name exists. Note for tree relation will
give the items in pre-order.
A Lisp tree presentation of the items RELATIONNAME
in UTT
.
The Lisp bracketing reflects the tree structure in the relation.
A list of all the leafs of the items in RELATIONNAME
in
UTT
. Leafs are defined as those items with no daughters within
that relation. For simple list relations utt.relation.leafs
and
utt.relation.items
will return the same thing.
returns the first item in RELATIONNAME
. Returns nil
if this relation contains no items
returns the last (the most next) item in RELATIONNAME
. Returns
nil
if this relation contains no items
returns the value of feature FEATNAME
in ITEM
. FEATNAME
may be a feature name, feature function name, or pathname (see below).
allowing reference to other parts of the utterance this item is in.
Returns an assoc list of feature-value pairs of all local features on this item.
Returns the name of this ITEM
. This could also be accessed
as (item.feat ITEM 'name)
.
Sets name on ITEM
to be NEWNAME
. This is equivalent to
(item.set_feat ITEM 'name NEWNAME)
set the value of FEATNAME
to FEATVALUE
in ITEM
.
FEATNAME
should be a simple name and not refer to next,
previous or other relations via links.
Return the item as viewed from RELATIONNAME
, or nil
if
ITEM
is not in that relation.
Return a list of relation names that this item is in.
Return the relation name that this item is currently being viewed as.
Return the next item in ITEM
’s current relation, or nil
if there is no next.
Return the previous item in ITEM
’s current relation, or nil
if there is no previous.
Return the parent of ITEM
in ITEM
’s current relation, or
nil
if there is no parent.
Return the first daughter of ITEM
in ITEM
’s current relation, or
nil
if there are no daughters.
Return the second daughter of ITEM
in ITEM
’s current relation, or
nil
if there is no second daughter.
Return the last daughter of ITEM
in ITEM
’s current relation, or
nil
if there are no daughters.
Return a list of all lefs items (those with no daughters) dominated by this item.
Find the next item in this relation that has no daughters. Note this may traverse up the tree from this point to search for such an item.
As from 1.2 the utterance structure may be fully manipulated from Scheme. Relations and items may be created and deleted, as easily as they can in C++;
returns t
if relation named RELATIONNAME
is present, nil
otherwise.
Creates a new relation called RELATIONNAME
. If this relation
already exists it is deleted first and items in the relation are
derefenced from it (deleting the items if they are no longer referenced
by any relation). Thus create relation guarantees an empty relation.
Deletes the relation called RELATIONNAME
in utt. All items in
that relation are derefenced from the relation and if they are no
longer in any relation the items themselves are deleted.
Append ITEM
to end of relation named RELATIONNAME
in
UTT
. Returns nil
if there is not relation named
RELATIONNAME
in UTT
otherwise returns the item
appended. This new item becomes the last in the top list.
ITEM
item may be an item itself (in this or another relation)
or a LISP description of an item, which consist of a list containing
a name and a set of feature vale pairs. It ITEM
is nil
or inspecified an new empty item is added. If ITEM
is already
in this relation it is dereferenced from its current position (and
an empty item re-inserted).
Insert ITEM2
into ITEM1
’s relation in the direction
specified by DIRECTION
. DIRECTION
may take the
value, before
, after
, above
and below
.
If unspecified, after
is assumed. Note it is not recommended
to insert above and below and the functions item.insert_parent
and item.append_daughter
should normally be used for tree building.
Inserting using before
and after
within daughters is
perfectly safe.
Append DAUGHTER
, an item or a description of an item to
the item PARENT
in the PARENT
’s relation.
Insert a new parent above DAUGHTER
. NEWPARENT
may
be a item or the description of an item.
Delete this item from all relations it is in. All daughters of this item in each relations are also removed from the relation (which may in turn cause them to be deleted if they cease to be referenced by any other relation.
Remove this item from this relation, and any of its daughters. Other relations this item are in remain untouched.
Move the item FROM
to the position of TO
in TO
’s
relation. FROM
will often be in the same relation as TO
but that isn’t necessary. The contents of TO
are dereferenced.
its daughters are saved then descendants of FROM
are
recreated under the new TO
, then TO
’s previous
daughters are derefenced. The order of this is important as FROM
may be part of TO
’s descendants. Note that if TO
is part of FROM
’s descendants no moving occurs and nil
is returned. For example to remove all punction terminal nodes in
the Syntax relation the call would be something like
(define (syntax_relation_punc p) (if (string-equal "punc" (item.feat (item.daughter2 p) "pos")) (item.move_tree (item.daughter1 p) p) (mapcar syntax_remove_punc (item.daughters p)))) |
Exchange ITEM1
and ITEM2
and their descendants in
ITEM2
’s relation. If ITEM1
is within ITEM2
’s
descendants or vice versa nil
is returns and no exchange takes
place. If ITEM1
is not in ITEM2
’s relation, no
exchange takes place.
Daughters of a node are actually represented as a list whose first
daughter is double linked to the parent. Although being aware of
this structure may be useful it is recommended that all access go through
the tree specific functions *.parent
and *.daughter*
which properly deal with the structure, thus is the internal structure
ever changes in the future only these tree access function need be
updated.
With the above functions quite elaborate utterance manipulations can be performed. For example in post-lexical rules where modifications to the segments are required based on the words and their context. See section Post-lexical rules, for an example of using various utterance access functions.
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In previous versions items had a number of predefined features. This is
no longer the case and all features are optional. Particularly the
start
and end
features are no longer fixed, though those
names are still used in the relations where yjeu are appropriate.
Specific functions are provided for the name
feature but they are
just short hand for normal feature access. Simple features directly access
the features in the underlying EST_Feature
class in an item.
In addition to simple features there is a mechanism for relating
functions to names, thus accessing a feature may actually call a
function. For example the features num_syls
is defined as a
feature function which will count the number of syllables in the
given word, rather than simple access a pre-existing feature. Feature
functions are usually dependent on the particular realtion the
item is in, e.g. some feature functions are only appropriate for
items in the Word
relation, or only appropriate for those in the
IntEvent
relation.
The third aspect of feature names is a path component. These are
parts of the name (preceding in .
) that indicated some
trversal of the utterance structure. For example the features
name
will access the name feature on the given item. The
feature n.name
will return the name feature on the next item
(in that item’s relation). A number of basic direction
operators are defined.
n.
next
p.
previous
nn.
next next
pp.
previous
parent.
daughter1.
first daughter
daughter2.
second daughter
daughtern.
last daughter
first.
most previous item
last.
most next item
Also you may specific traversal to another relation relation, though
the R:<relationame>.
operator. For example given an Item
in the syllable relation R:SylStructure.parent.name
would
give the name of word the syllable is in.
Some more complex examples are as follows, assuming we are starting
form an item in the Syllable
relation.
This item’s lexical stress
The next syllable’s lexical stress
The previous syllable’s lexical stress
The word this syllable is in
The word next to the word this syllable is in
The word the next syllable is in
The phonetic feature vc
of the final segment in this syllable.
A list of all feature functions is given in an appendix of this document. See section Feature functions. New functions may also be added in Lisp.
In C++ feature values are of class EST_Val which may be a string,
int, or a float (or any arbitrary object). In Scheme this distinction
cannot not always be made and sometimes when you expect an int you
actually get a string. Care should be take to ensure the right matching
functions are use in Scheme. It is recommended you use
string-append
or string-match
as they will always work.
If a pathname does not identify a valid path for the particular
item (e.g. there is no next) "0"
is returned.
When collecting data from speech databases it is often useful to collect a whole set of features from all utterances in a database. These features can then be used for building various models (both CART tree models and linear regression modules use these feature names),
A number of functions exist to help in this task. For example
(utt.features utt1 'Word '(name pos p.pos n.pos)) |
will return a list of word, and part of speech context for each word in the utterance.
See section Extracting features, for an example of extracting sets of features from a database for use in building stochastic models.
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A number of functions are available to allow an utterance’s structure to be made available for other programs.
The whole structure, all relations, items and features may be
saved in an ascii format using the function utt.save
. This
file may be reloaded using the utt.load
function. Note the
waveform is not saved using the form.
Individual aspects of an utterance may be selectively saved. The
waveform itself may be saved using the function utt.save.wave
.
This will save the waveform in the named file in the format specified
in the Parameter
Wavefiletype
. All formats supported by
the Edinburgh Speech Tools are valid including nist
, esps
,
sun
, riff
, aiff
, raw
and ulaw
. Note
the functions utt.wave.rescale
and utt.wave.resample
may
be used to change the gain and sample frequency of the waveform before
saving it. A waveform may be imported into an existing utterance with
the function utt.import.wave
. This is specifically designed to
allow external methods of waveform synthesis. However if you just wish
to play an external wave or make it into an utterance you should
consider the utterance Wave
type.
The segments of an utterance may be saved in a file using the function
utt.save.segs
which saves the segments of the named utterance in
xlabel format. Any other stream may also be saved using the more
general utt.save.relation
which takes the additional argument of
a relation name. The names of each item and the end feature of each
item are saved in the named file, again in Xlabel format, other features
are saved in extra fields. For more elaborated saving methods you can
easily write a Scheme function to save data in an utterance in whatever
format is required. See the file ‘lib/mbrola.scm’ for an example.
A simple function to allow the displaying of an utterance in
Entropic’s Xwaves tool is provided by the function display
.
It simply saves the waveform and the segments and sends appropriate
commands to (the already running) Xwaves and xlabel programs.
A function to synthesize an externally specified utterance is provided
for by utt.resynth
which takes two filename arguments, an xlabel
segment file and an F0 file. This function loads, synthesizes and plays
an utterance synthesized from these files. The loading is provided by
the underlying function utt.load.segf0
.
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