def is_available(cls):
if (super(cls, cls).is_available() and
diagnose.check_executable('text2wave') and
diagnose.check_executable('festival')):
logger = logging.getLogger(__name__)
cmd = ['festival', '--pipe']
with tempfile.SpooledTemporaryFile() as out_f:
with tempfile.SpooledTemporaryFile() as in_f:
logger.debug('Executing %s', ' '.join([pipes.quote(arg)
for arg in cmd]))
subprocess.call(cmd, stdin=in_f, stdout=out_f,
stderr=out_f)
out_f.seek(0)
output = out_f.read().strip()
if output:
logger.debug("Output was: '%s'", output)
return ('No default voice found' not in output)
return False
def __new__(cls, fst_model=None, *args, **kwargs):
if not diagnose.check_executable("phonetisaurus-g2p"):
raise OSError(
"Can't find command 'phonetisaurus-g2p'! Please "
+ "check if Phonetisaurus is installed and in your "
+ "$PATH."
)
if fst_model is None or not os.access(fst_model, os.R_OK):
raise OSError(("FST model '%r' does not exist! Can't create " + "instance.") % fst_model)
inst = object.__new__(cls, fst_model, *args, **kwargs)
return inst
def __new__(cls, fst_model=None, *args, **kwargs):
if not diagnose.check_executable('phonetisaurus-g2p'):
raise OSError("Can't find command 'phonetisaurus-g2p'! Please " +
"check if Phonetisaurus is installed and in your " +
"$PATH.")
if fst_model is None or not os.access(fst_model, os.R_OK):
raise OSError(
("FST model '%r' does not exist! Can't create " + "instance.")
% fst_model)
inst = object.__new__(cls, *args, **kwargs)
return inst
import collections
import logging
import pipes
import re
import subprocess
import tempfile
from client import diagnose
from client import plugin
if not diagnose.check_executable('espeak'):
raise ImportError("espeak executable not found!")
RE_PATTERN = re.compile(r'(?P<pty>\d+)\s+' +
r'(?P<lang>[a-z-]+)\s+' +
r'(?P<gender>[MF-])\s+' +
r'(?P<name>[\w-]+)\s+\S+\s+' +
r'(?P<other>(?:\([a-z-]+\s+\d+\))*)')
RE_OTHER = re.compile(r'\((?P<lang>[a-z-]+)\s+(?P<pty>\d+)\)')
Voice = collections.namedtuple(
'Voice', ['name', 'gender', 'priority', 'language'])
class EspeakTTSPlugin(plugin.TTSPlugin):
"""
Uses the eSpeak speech synthesizer included in the Jasper disk image
Requires espeak to be available
"""
def __init__(self, *args, **kwargs):
def is_available(cls):
return (super(cls, cls).is_available() and
diagnose.check_executable('pico2wave'))
def is_available(cls):
return (platform.system().lower() == 'darwin' and
diagnose.check_executable('say') and
diagnose.check_executable('afplay'))
def is_available(cls):
return (super(cls, cls).is_available() and
diagnose.check_executable('flite') and
len(cls.get_voices()) > 0)
def is_available(cls):
return (super(cls, cls).is_available() and
diagnose.check_executable('espeak'))
import collections
import logging
import pipes
import re
import subprocess
import tempfile
from client import diagnose
from client import plugin
if not diagnose.check_executable('espeak'):
raise ImportError("espeak executable not found!")
RE_PATTERN = re.compile(r'(?P<pty>\d+)\s+' + r'(?P<lang>[a-z-]+)\s+' +
r'(?P<gender>[MF-])\s+' +
r'(?P<name>[\w-]+)\s+\S+\s+' +
r'(?P<other>(?:\([a-z-]+\s+\d+\))*)')
RE_OTHER = re.compile(r'\((?P<lang>[a-z-]+)\s+(?P<pty>\d+)\)')
Voice = collections.namedtuple('Voice',
['name', 'gender', 'priority', 'language'])
class EspeakTTSPlugin(plugin.TTSPlugin):
"""
Uses the eSpeak speech synthesizer included in the Jasper disk image
Requires espeak to be available
"""
def __init__(self, *args, **kwargs):
plugin.TTSPlugin.__init__(self, *args, **kwargs)
self._logger = logging.getLogger(__name__)
def is_available(cls):
return diagnose.check_executable('julius')
def is_available(cls):
return diagnose.check_executable('aplay')
