[Bug] Strange output results from simple words

Describe the bug

Sometimes I get really strange outputs. Like this one:

` tts --out_path hello.mp3 --text “hello”

tts_models/en/ljspeech/tacotron2-DDC is already downloaded. vocoder_models/en/ljspeech/hifigan_v2 is already downloaded. Using model: Tacotron2 Setting up Audio Processor… | > sample_rate:22050 | > resample:False | > num_mels:80 | > log_func:np.log | > min_level_db:-100 | > frame_shift_ms:None | > frame_length_ms:None | > ref_level_db:20 | > fft_size:1024 | > power:1.5 | > preemphasis:0.0 | > griffin_lim_iters:60 | > signal_norm:False | > symmetric_norm:True | > mel_fmin:0 | > mel_fmax:8000.0 | > pitch_fmin:0.0 | > pitch_fmax:640.0 | > spec_gain:1.0 | > stft_pad_mode:reflect | > max_norm:4.0 | > clip_norm:True | > do_trim_silence:True | > trim_db:60 | > do_sound_norm:False | > do_amp_to_db_linear:True | > do_amp_to_db_mel:True | > do_rms_norm:False | > db_level:None | > stats_path:None | > base:2.718281828459045 | > hop_length:256 | > win_length:1024 Model’s reduction rate r is set to: 1 Vocoder Model: hifigan Setting up Audio Processor… | > sample_rate:22050 | > resample:False | > num_mels:80 | > log_func:np.log | > min_level_db:-100 | > frame_shift_ms:None | > frame_length_ms:None | > ref_level_db:20 | > fft_size:1024 | > power:1.5 | > preemphasis:0.0 | > griffin_lim_iters:60 | > signal_norm:False | > symmetric_norm:True | > mel_fmin:0 | > mel_fmax:8000.0 | > pitch_fmin:0.0 | > pitch_fmax:640.0 | > spec_gain:1.0 | > stft_pad_mode:reflect | > max_norm:4.0 | > clip_norm:True | > do_trim_silence:False | > trim_db:60 | > do_sound_norm:False | > do_amp_to_db_linear:True | > do_amp_to_db_mel:True | > do_rms_norm:False | > db_level:None | > stats_path:None | > base:2.718281828459045 | > hop_length:256 | > win_length:1024 Generator Model: hifigan_generator Discriminator Model: hifigan_discriminator Removing weight norm… Text: hello Text splitted to sentences. [‘hello’] Decoder stopped with max_decoder_steps 500 Processing time: 2.7834296226501465 Real-time factor: 0.4366435912025878 Saving output to hello.mp3 `

No idea what I’m doing wrong.

To Reproduce

tts --out_path hello.mp3 --text "hello"

Expected behavior

No response

Logs

No response

Environment

{
    "CUDA": {
        "GPU": [],
        "available": false,
        "version": "10.2"
    },
    "Packages": {
        "PyTorch_debug": false,
        "PyTorch_version": "1.11.0+cu102",
        "TTS": "0.6.1",
        "numpy": "1.19.5"
    },
    "System": {
        "OS": "Linux",
        "architecture": [
            "64bit",
            "ELF"
        ],
        "processor": "",
        "python": "3.9.2",
        "version": "#1 SMP Debian 5.10.106-1 (2022-03-17)"
    }
}

Additional context

No response

[erogol]

You need to end with punctuation for most of the models since they are trained with datasets in which texts always end with punctuations.

[NormanTUD]

Hi, yes, “hello.” works. Is there a reason not to automatically add “.” to sentences inputted if $input !~ /\.$/?