my code is

from jotts import JoTTS
jotts = JoTTS()
jotts.speak("Das Wetter heute ist fantastisch.", True)
jotts.textToWav("Es war aber auch schon mal besser!")

and I receive this :

2022-11-01 09:39:57.536 | DEBUG    | jotts.jotts:__init__:66 - Initializing JoTTS...
2022-11-01 09:39:57.537 | DEBUG    | jotts.jotts:__prepare_model__:50 - There is no tts model yet, downloading...
2022-11-01 09:39:57.537 | DEBUG    | jotts.jotts:__prepare_model__:60 - Download file: https://github.com/padmalcom/jotts/releases/download/v0.1/v0.1.pt
v0.1.pt: 0.00B [00:00, ?B/s]

Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1317, in do_open
    encode_chunked=req.has_header('Transfer-encoding'))
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1229, in request
    self._send_request(method, url, body, headers, encode_chunked)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1275, in _send_request
    self.endheaders(body, encode_chunked=encode_chunked)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1224, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1016, in _send_output
    self.send(msg)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 956, in send
    self.connect()
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/http/client.py", line 1392, in connect
    server_hostname=server_hostname)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 412, in wrap_socket
    session=session
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 853, in _create
    self.do_handshake()
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ssl.py", line 1117, in do_handshake
    self._sslobj.do_handshake()
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1056)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "test.py", line 2, in <module>
    jotts = JoTTS()
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/jotts/jotts.py", line 68, in __init__
    MODEL_FILE = self.__prepare_model__(force_model_download);
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/jotts/jotts.py", line 62, in __prepare_model__
    urllib.request.urlretrieve(DOWNLOAD_URL, filename=MODEL_FILE, reporthook=t.update_to)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 247, in urlretrieve
    with contextlib.closing(urlopen(url, data)) as fp:
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 222, in urlopen
    return opener.open(url, data, timeout)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 525, in open
    response = self._open(req, data)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 543, in _open
    '_open', req)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 503, in _call_chain
    result = func(*args)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1360, in https_open
    context=self._context, check_hostname=self._check_hostname)
  File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/urllib/request.py", line 1319, in do_open
    raise URLError(err)
urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1056)>

what am I doing wrong. ? Thanks !

I tried to drop a spectrogram sanmple as npy and feed HifiGAN but it gave me a lot of noise. I am wondering how good your results are, do you have samples with vocoders like above?

running this example on MacOS 11.6

from jotts import JoTTS

jotts = JoTTS()
jotts.speak("Das Wetter heute ist fantastisch.", True)
jotts.speak("Wir sind Die Roboter.", True)
jotts.text2wav("Es war aber auch schon mal besser!")

give an error trying to generate the wav file (The speak function works really well !)

2021-12-14 17:41:22.415 | DEBUG    | jotts.jotts:__init__:66 - Initializing JoTTS...
2021-12-14 17:41:22.415 | DEBUG    | jotts.jotts:__init__:83 - Using CPU for inference.
2021-12-14 17:41:22.415 | DEBUG    | jotts.jotts:__init__:85 - Loading the synthesizer...
Synthesizer using device: cpu
Trainable Parameters: 30.874M
Loaded synthesizer "v0.1.pt" trained to step 79000

| Generating 1/1
[W NNPACK.cpp:79] Could not initialize NNPACK! Reason: Unsupported hardware.


Done.

| Generating 1/1


Done.

Traceback (most recent call last):
  File "test_jotts.py", line 6, in <module>
    jotts.text2wav("Es war aber auch schon mal besser!")
AttributeError: 'JoTTS' object has no attribute 'text2wav'

using jotts.textToWav works well but there is still this [W NNPACK.cpp:79] message here is the output

2021-12-14 17:45:31.699 | DEBUG    | jotts.jotts:__init__:66 - Initializing JoTTS...
2021-12-14 17:45:31.700 | DEBUG    | jotts.jotts:__init__:83 - Using CPU for inference.
2021-12-14 17:45:31.700 | DEBUG    | jotts.jotts:__init__:85 - Loading the synthesizer...
Synthesizer using device: cpu
Trainable Parameters: 30.874M
Loaded synthesizer "v0.1.pt" trained to step 79000

| Generating 1/1
[W NNPACK.cpp:79] Could not initialize NNPACK! Reason: Unsupported hardware.


Done.


| Generating 1/1


Done.


| Generating 1/1


Done.

Sorry not an issue but I would like to have a Raspberry Pi Zero speak German without the need for an Internet connection (Amazon Polly and IBM Watson have great German voices but are paid service quite complex to install - not to mention the need for a connect and its delays) I just subscribed to your course (I understand only a bit of German) ;-) Maybe some of the heavy work can be done on a fast computer but I need the text to speech to be done on the Raspberry Pi ?

Typo somewhere: The readme says "The synthesizer model has been trained on my voice using Tacotron1." while the releases say "v0.1 Latest Pre-trained German synthesizer model based on tacotron2."

Can you add more hints how you trained your model(s), i.e. which base repository, data structure and how many hours of your voice you need for the current results?