speech_tts_queue.py

@@ -3,214 +3,61 @@ from AppKit import *
 from Foundation import NSURL
 from PyObjCTools import AppHelper
 from time import time
-import os
-import sys
-import random
-import json
-import csv
-import subprocess
-from tqdm import tqdm
-
-from speech_samplegen import SynthVariant, format_filename
-from speech_tools import create_dir
 
 apple_phonemes = [
     '%', '@', 'AE', 'EY', 'AO', 'AX', 'IY', 'EH', 'IH', 'AY', 'IX', 'AA', 'UW',
     'UH', 'UX', 'OW', 'AW', 'OY', 'b', 'C', 'd', 'D', 'f', 'g', 'h', 'J', 'k',
     'l', 'm', 'n', 'N', 'p', 'r', 's', 'S', 't', 'T', 'v', 'w', 'y', 'z', 'Z'
 ]
+len(apple_phonemes)
 
-OUTPUT_NAME = 'test'
+speech_phoneme_data = []
-
-dest_dir = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '/'
-csv_dest_file = os.path.abspath('.') + '/outputs/' + OUTPUT_NAME + '.csv'
-create_dir(dest_dir)
-
-
-def cli_gen_audio(speech_cmd, out_path):
-    subprocess.call(
-        ['say', '-o', out_path, "'" + speech_cmd + "'"])
-
 
 class SpeechDelegate (NSObject):
     def speechSynthesizer_willSpeakWord_ofString_(self, sender, word, text):
         '''Called automatically when the application has launched'''
-        # print("Speaking word {} in sentence {}".format(word,text))
+        print("Speaking word {} in sentence {}".format(word,text))
-        self.wordWillSpeak()
 
     def speechSynthesizer_willSpeakPhoneme_(self,sender,phoneme):
         phon_ch = apple_phonemes[phoneme]
-        self.phonemeWillSpeak(phon_ch)
+        # print('first',speech_phoneme_data)
+        # prev_time = speech_phoneme_data[-1][1]
+        # print('prev_time',prev_time)
+        speech_phoneme_data.append((phon_ch,time()))
+        print("phoneme boundary for {} time {}".format(phon_ch,time()))
+        # NSApp().terminate_(self)
 
     def speechSynthesizer_didFinishSpeaking_(self,synth,didFinishSpeaking):
-        if didFinishSpeaking:
+        speech_phoneme_data.append(('%',time()))
-            self.completeCB()
+        print("finished speaking time {}".format(time()))
-
+        diff_time = []
-    def setC_W_Ph_(self, completed, word, phoneme):
+        for i in range(len(speech_phoneme_data)-1):
-        self.completeCB = completed
+            dur = speech_phoneme_data[i+1][1] - speech_phoneme_data[i][1]
-        self.wordWillSpeak = word
+            diff_time.append((speech_phoneme_data[i][0],dur))
-        self.phonemeWillSpeak = phoneme
+        print(diff_time)
 
 # del SpeechDelegate
-
-
 class Delegate (NSObject):
     def applicationDidFinishLaunching_(self, aNotification):
         '''Called automatically when the application has launched'''
-        print("App Launched!")
+        print("Window, World!")
-        generate_audio()
 
-
+    def windowWillClose_(self, aNotification):
-class PhonemeTiming(object):
+        '''Called automatically when the window is closed'''
-    """docstring for PhonemeTiming."""
+        print("Window has been closed")
-
+        # Terminate the application
-    def __init__(self, phon, start):
+        NSApp().terminate_(self)
-        super(PhonemeTiming, self).__init__()
-        self.phoneme = phon
-        self.start = start
-        self.fraction = 0
-        self.duration = None
-        self.end = None
-
-    def is_audible(self):
-        return self.phoneme not in ['%', '~']
-
-    def tune(self):
-        if self.is_audible():
-            dur_ms = int(self.duration * 1000)
-            return '{} {{D {}}}'.format(self.phoneme, dur_ms)
-        else:
-            return '~'
-
-    def __repr__(self):
-        return '[{}]({:0.4f})'.format(self.phoneme, self.fraction)
-
-    @staticmethod
-    def to_tune(phone_ts):
-        tune_list = ['[[inpt TUNE]]']
-        for ph in phone_ts:
-            tune_list.append(ph.tune())
-        tune_list.append('[[inpt TEXT]]')
-        return '\n'.join(tune_list)
-
-
-class SegData(object):
-    """docstring for SegData."""
-
-    def __init__(self, text, filename):
-        super(SegData, self).__init__()
-        self.text = text
-        self.tune = ''
-        self.filename = filename
-        self.segments = []
-
-    def csv_rows(self):
-        result = []
-        s_tim = self.segments[0].start
-        for i in range(len(self.segments) - 1):
-            cs = self.segments[i]
-            # if cs.is_audible():
-            ns = self.segments[i + 1]
-            row = [self.text, self.filename, cs.phoneme, ns.phoneme,
-                   (cs.start - s_tim) * 1000, (cs.end - s_tim) * 1000]
-            result.append(row)
-        return result
-
-
-class SynthesizerQueue(object):
-    """docstring for SynthesizerQueue."""
-
-    def __init__(self):
-        super(SynthesizerQueue, self).__init__()
-        self.synth = NSSpeechSynthesizer.alloc().init()
-        self.didComplete = None
-        q_delg = SpeechDelegate.alloc().init()
-        self.synth.setDelegate_(q_delg)
-
-        def synth_complete():
-            end_time = time()
-            for i in range(len(self.phoneme_timing)):
-                if i == len(self.phoneme_timing) - 1:
-                    self.phoneme_timing[i].duration = end_time - \
-                        self.phoneme_timing[i].start
-                    self.phoneme_timing[i].end = end_time
-                else:
-                    self.phoneme_timing[i].duration = self.phoneme_timing[i +
-                                                                          1].start - self.phoneme_timing[i].start
-                    self.phoneme_timing[i].end = self.phoneme_timing[i + 1].start
-
-            total_time = sum(
-                [i.duration for i in self.phoneme_timing if i.is_audible()])
-            for ph in self.phoneme_timing:
-                if ph.is_audible():
-                    ph.fraction = ph.duration / total_time
-            if self.didComplete:
-                self.data.segments = self.phoneme_timing
-                self.data.tune = PhonemeTiming.to_tune(self.phoneme_timing)
-                self.didComplete(self.data)
-
-        def will_speak_phoneme(phon):
-            phtm = PhonemeTiming(phon, time())
-            self.phoneme_timing.append(phtm)
-
-        def will_speak_word():
-            pass
-            # coz it comes after the first phoneme of the word is started
-            # phtm = PhonemeTiming('~', time())
-            # self.phoneme_timing.append(phtm)
-
-        q_delg.setC_W_Ph_(synth_complete, will_speak_word, will_speak_phoneme)
-
-    def queueTask(self, text):
-        rand_no = str(random.randint(0, 10000))
-        fname = '{}-{}.aiff'.format(text, rand_no)
-        sanitized = format_filename(fname)
-        dest_file = dest_dir + sanitized
-        cli_gen_audio(text, dest_file)
-        self.phoneme_timing = []
-        self.data = SegData(text, sanitized)
-        self.synth.startSpeakingString_(text)
-
-
-def story_texts():
-    # story_file = './inputs/all_stories_hs.json'
-    story_file = './inputs/all_stories.json'
-    stories_data = json.load(open(story_file))
-    # text_list_dup = [t[0] for i in stories_data.values() for t in i]
-    text_list_dup = [t for i in stories_data.values() for t in i]
-    text_list = sorted(list(set(text_list_dup)))
-    return text_list
-
-
-def generate_audio():
-    synthQ = SynthesizerQueue()
-    phrases = random.sample(story_texts(), 5)  # story_texts()
-    f = open(csv_dest_file, 'w')
-    s_csv_w = csv.writer(f, quoting=csv.QUOTE_MINIMAL)
-    i = 0
-    p = tqdm(total=len(phrases))
-
-    def nextTask(seg_data=None):
-        nonlocal i
-        if i < len(phrases):
-            p.set_postfix(phrase=phrases[i])
-            p.update()
-            synthQ.queueTask(phrases[i])
-            i += 1
-        else:
-            p.close()
-            f.close()
-            dg = NSApplication.sharedApplication().delegate
-            print('App terminated.')
-            NSApp().terminate_(dg)
-        if seg_data:
-            s_csv_w.writerows(seg_data.csv_rows())
-    synthQ.didComplete = nextTask
-    nextTask()
 
 
 def main():
-
+    speech_delg = SpeechDelegate.alloc().init()
+    speech_delg.speechSynthesizer_didFinishSpeaking_('t',True)
+    voices = NSSpeechSynthesizer.availableVoices()
+    identifier = voices[2]
+    time()
+    alex_voice = NSSpeechSynthesizer.alloc().initWithVoice_(identifier)
+    alex_voice.setDelegate_(speech_delg)
+    alex_voice.startSpeakingString_("This is a test for speech synthesis generation")
     # Create a new application instance ...
     a=NSApplication.sharedApplication()
     # ... and create its delgate.  Note the use of the
@@ -222,6 +69,5 @@ def main():
 
     AppHelper.runEventLoop()
 
-
 if __name__ == '__main__':
     main()