diff --git a/mycroft/tts/__init__.py b/mycroft/tts/__init__.py
index 0f5020ea0f..aad0507f08 100644
--- a/mycroft/tts/__init__.py
+++ b/mycroft/tts/__init__.py
@@ -275,6 +275,20 @@ class TTS:
         # return text with supported ssml tags only
         return utterance.replace("  ", " ")
 
+    def _preprocess_sentence(self, sentence):
+        """ Default preprocessing is no preprocessing.
+
+        This method can be overridden to create chunks suitable to the
+        TTS engine in question.
+
+        Arguments:
+            sentence (str): sentence to preprocess
+
+        Returns:
+            list: list of sentence parts
+        """
+        return [sentence]
+
     def execute(self, sentence, ident=None):
         """
             Convert sentence to speech, preprocessing out unsupported ssml
@@ -295,20 +309,23 @@ class TTS:
                     sentence = sentence.replace(word,
                                                 self.spellings[word.lower()])
 
-        key = str(hashlib.md5(sentence.encode('utf-8', 'ignore')).hexdigest())
-        wav_file = os.path.join(mycroft.util.get_cache_directory("tts"),
-                                key + '.' + self.audio_ext)
+        chunks = self._preprocess_sentence(sentence)
+        for sentence in chunks:
+            key = str(hashlib.md5(
+                sentence.encode('utf-8', 'ignore')).hexdigest())
+            wav_file = os.path.join(mycroft.util.get_cache_directory("tts"),
+                                    key + '.' + self.audio_ext)
 
-        if os.path.exists(wav_file):
-            LOG.debug("TTS cache hit")
-            phonemes = self.load_phonemes(key)
-        else:
-            wav_file, phonemes = self.get_tts(sentence, wav_file)
-            if phonemes:
-                self.save_phonemes(key, phonemes)
+            if os.path.exists(wav_file):
+                LOG.debug("TTS cache hit")
+                phonemes = self.load_phonemes(key)
+            else:
+                wav_file, phonemes = self.get_tts(sentence, wav_file)
+                if phonemes:
+                    self.save_phonemes(key, phonemes)
 
-        vis = self.viseme(phonemes)
-        self.queue.put((self.audio_ext, wav_file, vis, ident))
+            vis = self.viseme(phonemes)
+            self.queue.put((self.audio_ext, wav_file, vis, ident))
 
     def viseme(self, phonemes):
         """
diff --git a/mycroft/tts/mimic2_tts.py b/mycroft/tts/mimic2_tts.py
index b1b454c20c..97cbe83500 100644
--- a/mycroft/tts/mimic2_tts.py
+++ b/mycroft/tts/mimic2_tts.py
@@ -89,13 +89,17 @@ def _split_by_punctuation(chunks, puncs):
     e.g. hello, world => [hello, world]
 
     Args:
-        chunks (list): text (str) to split
+        chunks (list or str): text (str) to split
         puncs (list): list of punctuations used to split text
 
     Returns:
         list: list with split text
     """
-    out = chunks
+    if isinstance(chunks, str):
+        out = [chunks]
+    else:
+        out = chunks
+
     for punc in puncs:
         splits = []
         for t in out:
@@ -138,7 +142,7 @@ def _sentence_chunker(text):
 
     # first split by punctuations that are major pauses
     first_splits = _split_by_punctuation(
-        [text],
+        text,
         puncs=[r'\.', r'\!', r'\?', r'\:', r'\;']
     )
 
@@ -149,7 +153,7 @@ def _sentence_chunker(text):
             second_splits += _split_by_punctuation(chunk,
                                                    puncs=[r'\,', '--', '-'])
         else:
-            second_splits += chunk
+            second_splits.append(chunk)
 
     # if chunks are still too big, chop into pieces of at most 20 words
     third_splits = []
@@ -157,7 +161,7 @@ def _sentence_chunker(text):
         if len(chunk) > _max_sentence_size:
             third_splits += _split_by_chunk_size(chunk, 20)
         else:
-            third_splits += chunk
+            third_splits.append(chunk)
 
     return [_add_punctuation(chunk) for chunk in third_splits]
 
@@ -194,7 +198,7 @@ class Mimic2(TTS):
                 '%s Http Error: %s for url: %s' %
                 (req.status_code, req.reason, req.url))
 
-    def _requests(self, chunks):
+    def _requests(self, sentence):
         """create asynchronous request list
 
         Args:
@@ -203,13 +207,9 @@ class Mimic2(TTS):
         Returns:
             list: list of FutureSession objects
         """
-        reqs = []
-        for chunk in chunks:
-            if len(chunk) > 0:
-                url = self.url + parse.quote(chunk)
-                req_route = url + "&visimes=True"
-                reqs.append(self.session.get(req_route, timeout=5))
-        return reqs
+        url = self.url + parse.quote(sentence)
+        req_route = url + "&visimes=True"
+        return self.session.get(req_route, timeout=5)
 
     def viseme(self, phonemes):
         """ Maps phonemes to appropriate viseme encoding
@@ -234,6 +234,10 @@ class Mimic2(TTS):
             visemes.append((vis, vis_dur))
         return visemes
 
+    def _prepocess_sentence(sentence):
+        """ Split sentence in chunks better suited for mimic2. """
+        return _sentence_chunker(sentence)
+
     def get_tts(self, sentence, wav_file):
         """ Generate (remotely) and play mimic2 WAV audio
 
@@ -241,23 +245,14 @@ class Mimic2(TTS):
             sentence (str): Phrase to synthesize to audio with mimic2
             wav_file (str): Location to write audio output
         """
-
-        # Use the phonetic_spelling mechanism from the TTS base class
-        if self.phonetic_spelling:
-            for word in re.findall(r"[\w']+", sentence):
-                if word.lower() in self.spellings:
-                    sentence = sentence.replace(word,
-                                                self.spellings[word.lower()])
-
-        chunks = _sentence_chunker(sentence)
-        LOG.debug("Generating Mimic2 TSS for: "+str(chunks))
+        LOG.debug("Generating Mimic2 TSS for: " + str(sentence))
         try:
-            for _, req in enumerate(self._requests(chunks)):
-                results = req.result().json()
-                audio = base64.b64decode(results['audio_base64'])
-                vis = results['visimes']
-                with open(wav_file, 'wb') as f:
-                    f.write(audio)
+            req = self._requests(sentence)
+            results = req.result().json()
+            audio = base64.b64decode(results['audio_base64'])
+            vis = results['visimes']
+            with open(wav_file, 'wb') as f:
+                f.write(audio)
         except (ReadTimeout, ConnectionError, ConnectTimeout, HTTPError):
             raise RemoteTTSTimeoutException(
                 "Mimic 2 server request timed out. Falling back to mimic")