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test

Text-to-Speech
Fairseq
English
audio
multi-speaker
Model card Files Community
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  1. README.md +71 -0
  2. config.yaml +24 -0
  3. fbank_enhanced_vad2_t2_gcmvn_stats.npz +3 -0
  4. hifigan.json +37 -0
  5. speakers.txt +200 -0
  6. vocab.txt +78 -0
README.md ADDED
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+ ---
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+ library_name: fairseq
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+ task: text-to-speech
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+ tags:
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+ - fairseq
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+ - audio
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+ - text-to-speech
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+ - multi-speaker
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+ language: en
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+ datasets:
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+ - common_voice
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+ widget:
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+ - text: "Hello, this is a test run."
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+ example_title: "Hello, this is a test run."
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+ ---
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+ # tts_transformer-en-200_speaker-cv4
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+
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+ [Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
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+ - English
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+ - 200 male/female voices (random speaker when using the widget)
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+ - Trained on [Common Voice v4](https://commonvoice.mozilla.org/en/datasets)
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+
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+ ## Usage
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+
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+ ```python
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+ from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
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+ from fairseq.models.text_to_speech.hub_interface import TTSHubInterface
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+ import IPython.display as ipd
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+
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+
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+ models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
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+ "facebook/tts_transformer-en-200_speaker-cv4",
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+ arg_overrides={"vocoder": "hifigan", "fp16": False}
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+ )
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+ model = models[0]
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+ TTSHubInterface.update_cfg_with_data_cfg(cfg, task.data_cfg)
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+ generator = task.build_generator(model, cfg)
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+
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+ text = "Hello, this is a test run."
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+
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+ sample = TTSHubInterface.get_model_input(task, text)
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+ wav, rate = TTSHubInterface.get_prediction(task, model, generator, sample)
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+
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+ ipd.Audio(wav, rate=rate)
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+ ```
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+
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+ See also [fairseq S^2 example](https://github.com/pytorch/fairseq/blob/main/examples/speech_synthesis/docs/common_voice_example.md).
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{wang-etal-2021-fairseq,
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+ title = "fairseq S{\^{}}2: A Scalable and Integrable Speech Synthesis Toolkit",
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+ author = "Wang, Changhan and
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+ Hsu, Wei-Ning and
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+ Adi, Yossi and
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+ Polyak, Adam and
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+ Lee, Ann and
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+ Chen, Peng-Jen and
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+ Gu, Jiatao and
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+ Pino, Juan",
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+ booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
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+ month = nov,
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+ year = "2021",
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+ address = "Online and Punta Cana, Dominican Republic",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2021.emnlp-demo.17",
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+ doi = "10.18653/v1/2021.emnlp-demo.17",
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+ pages = "143--152",
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+ }
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+ ```
config.yaml ADDED
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+ features:
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+ eps: 1.0e-05
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+ f_max: 8000
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+ f_min: 0
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+ hop_len_t: 0.011609977324263039
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+ hop_length: 256
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+ n_fft: 1024
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+ n_mels: 80
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+ n_stft: 513
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+ sample_rate: 22050
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+ type: spectrogram+melscale+log
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+ win_len_t: 0.046439909297052155
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+ win_length: 1024
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+ window_fn: hann
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+ global_cmvn:
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+ stats_npz_path: fbank_enhanced_vad2_t2_gcmvn_stats.npz
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+ speaker_set_filename: speakers.txt
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+ transforms:
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+ '*':
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+ - global_cmvn
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+ vocab_filename: vocab.txt
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+ hub:
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+ phonemizer: g2p
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+ preserve_punct: true
fbank_enhanced_vad2_t2_gcmvn_stats.npz ADDED
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+ size 1140
hifigan.json ADDED
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+ {
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+ "resblock": "1",
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+ "num_gpus": 0,
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+ "batch_size": 16,
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+ "learning_rate": 0.0002,
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+ "adam_b1": 0.8,
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+ "adam_b2": 0.99,
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+ "lr_decay": 0.999,
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+ "seed": 1234,
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+
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+ "upsample_rates": [8,8,2,2],
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+ "upsample_kernel_sizes": [16,16,4,4],
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+ "upsample_initial_channel": 512,
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+ "resblock_kernel_sizes": [3,7,11],
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+ "resblock_dilation_sizes": [[1,3,5], [1,3,5], [1,3,5]],
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+
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+ "segment_size": 8192,
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+ "num_mels": 80,
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+ "num_freq": 1025,
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+ "n_fft": 1024,
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+ "hop_size": 256,
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+ "win_size": 1024,
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+ "sampling_rate": 22050,
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+ "fmin": 0,
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+ "fmax": 8000,
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+ "fmax_for_loss": null,
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+ "num_workers": 4,
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+ "dist_config": {
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+ "dist_backend": "nccl",
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+ "dist_url": "tcp://localhost:54321",
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+ "world_size": 1
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+ }
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+ }
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