[Bug] Truncated audio when generating speech

Describe the bug

When generating speech audio from the following text, the generated file contains only a truncated speech audio, that is, the speech audio is interrupted before the sentences are pronounced.

Text:

Multiple debugging information entries may share the same abbreviation table entry. Each compilation unit is associated with a particular abbreviation table, but multiple compilation units may share the same table.

Generated speech audio: tts_output.zip

To Reproduce

$ tts --text 'Multiple debugging information entries may share the same abbreviation table entry. Each compilation unit is associated with a particular abbreviation table, but multiple compilation units may share the same table.'

Expected behavior

Generation of speech audio for the full input text.

Logs

$ tts --text 'Multiple debugging information entries may share the same abbreviation table entry. Each compilation unit is associated with a particular abbreviation table, but multiple compilation units may share the same table.'
 > 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: Multiple debugging information entries may share the same abbreviation table entry. Each compilation unit is associated with a particular abbreviation table, but multiple compilation units may share the same table.
 > Text splitted to sentences.
['Multiple debugging information entries may share the same abbreviation table entry.', 'Each compilation unit is associated with a particular abbreviation table, but multiple compilation units may share the same table.']
   > Decoder stopped with `max_decoder_steps` 500
 > Processing time: 5.151856899261475
 > Real-time factor: 0.4295162001993176
 > Saving output to tts_output.wav

Environment

{
    "CUDA": {
        "GPU": [
            "Quadro RTX 5000 with Max-Q Design"
        ],
        "available": true,
        "version": "10.2"
    },
    "Packages": {
        "PyTorch_debug": false,
        "PyTorch_version": "1.11.0+cu102",
        "TTS": "0.6.2",
        "numpy": "1.19.5"
    },
    "System": {
        "OS": "Linux",
        "architecture": [
            "64bit",
            "ELF"
        ],
        "processor": "",
        "python": "3.9.12",
        "version": "#1 SMP PREEMPT Debian 5.16.18-1 (2022-03-29)"
    }
}

Additional context

No response

[koutheir]

There is a limit on the sentence length for the default model.

• What is that exact limit?
• How can one find this information for a particular model?
• How is the length calculated (character count, word count, etc.)?

[a-t-0]

I would also like to know how to know the information @koutheir asked for 😃 :

* What is that exact limit?

* How can one find this information for a particular model?

* How is the length calculated (character count, word count, etc.)?

So it would be nice if the question could be re-opened.

FYI, here is a work-around given in this issue: Add:

"max_decoder_steps": 5000

at the end of the config file of the (default) model, in:

~/.local/share/tts/vocoder_models--en--ljspeech--hifigan_v2/config.json

Note, json expects a comma at the end of a line if the line is followed by another property/line. So you have to add a comma to the previous last line, and ensure you don’t add a comma to your own "max_decoder_steps": 5000 command. TL;DR: make the last lines look like:

    // PATHS
    "output_path": "/home/erogol/gdrive/Trainings/sam/",
    // Custom limit made larger
    "max_decoder_steps": 5000
}