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mlx-community
/
kitten-tts-mini

Text-to-Speech
Safetensors
MLX
mlx-audio
kitten_tts
speech
speech generation
voice cloning
tts
Model card Files
xet
 Community
kitten-tts-mini
File size: 8,314 Bytes
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{
    "activation_quant_modules": [
        "bert.encoder.albert_layer_groups.0.albert_layers.0.attention.dense",
        "bert.encoder.albert_layer_groups.0.albert_layers.0.attention.key",
        "bert.encoder.albert_layer_groups.0.albert_layers.0.attention.query",
        "bert.encoder.albert_layer_groups.0.albert_layers.0.attention.value",
        "bert.encoder.albert_layer_groups.0.albert_layers.0.ffn",
        "bert.encoder.albert_layer_groups.0.albert_layers.0.ffn_output",
        "bert.encoder.embedding_hidden_mapping_in",
        "bert_encoder",
        "decoder.asr_res.0",
        "decoder.decode.0.conv1",
        "decoder.decode.0.conv1x1",
        "decoder.decode.0.conv2",
        "decoder.decode.0.norm1.fc",
        "decoder.decode.0.norm2.fc",
        "decoder.decode.1.conv1",
        "decoder.decode.1.conv1x1",
        "decoder.decode.1.conv2",
        "decoder.decode.1.norm1.fc",
        "decoder.decode.1.norm2.fc",
        "decoder.decode.2.conv1",
        "decoder.decode.2.conv1x1",
        "decoder.decode.2.conv2",
        "decoder.decode.2.norm1.fc",
        "decoder.decode.2.norm2.fc",
        "decoder.decode.3.conv1",
        "decoder.decode.3.conv1x1",
        "decoder.decode.3.conv2",
        "decoder.decode.3.norm1.fc",
        "decoder.decode.3.norm2.fc",
        "decoder.encode.conv1",
        "decoder.encode.conv1x1",
        "decoder.encode.conv2",
        "decoder.encode.norm1.fc",
        "decoder.encode.norm2.fc",
        "decoder.generator.conv_post",
        "decoder.generator.noise_convs.0",
        "decoder.generator.noise_convs.1",
        "decoder.generator.noise_res.0.adain1.0.fc",
        "decoder.generator.noise_res.0.adain1.1.fc",
        "decoder.generator.noise_res.0.adain1.2.fc",
        "decoder.generator.noise_res.0.adain2.0.fc",
        "decoder.generator.noise_res.0.adain2.1.fc",
        "decoder.generator.noise_res.0.adain2.2.fc",
        "decoder.generator.noise_res.0.convs1.0",
        "decoder.generator.noise_res.0.convs1.1",
        "decoder.generator.noise_res.0.convs1.2",
        "decoder.generator.noise_res.0.convs2.0",
        "decoder.generator.noise_res.0.convs2.1",
        "decoder.generator.noise_res.0.convs2.2",
        "decoder.generator.noise_res.1.adain1.0.fc",
        "decoder.generator.noise_res.1.adain1.1.fc",
        "decoder.generator.noise_res.1.adain1.2.fc",
        "decoder.generator.noise_res.1.adain2.0.fc",
        "decoder.generator.noise_res.1.adain2.1.fc",
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        "decoder.generator.noise_res.1.convs2.2",
        "decoder.generator.resblocks.0.adain1.0.fc",
        "decoder.generator.resblocks.0.adain1.1.fc",
        "decoder.generator.resblocks.0.adain1.2.fc",
        "decoder.generator.resblocks.0.adain2.0.fc",
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        "decoder.generator.resblocks.1.adain1.1.fc",
        "decoder.generator.resblocks.1.adain1.2.fc",
        "decoder.generator.resblocks.1.adain2.0.fc",
        "decoder.generator.resblocks.1.adain2.1.fc",
        "decoder.generator.resblocks.1.adain2.2.fc",
        "decoder.generator.resblocks.1.convs1.0",
        "decoder.generator.resblocks.1.convs1.1",
        "decoder.generator.resblocks.1.convs1.2",
        "decoder.generator.resblocks.1.convs2.0",
        "decoder.generator.resblocks.1.convs2.1",
        "decoder.generator.resblocks.1.convs2.2",
        "decoder.generator.resblocks.2.adain1.0.fc",
        "decoder.generator.resblocks.2.adain1.1.fc",
        "decoder.generator.resblocks.2.adain1.2.fc",
        "decoder.generator.resblocks.2.adain2.0.fc",
        "decoder.generator.resblocks.2.adain2.1.fc",
        "decoder.generator.resblocks.2.adain2.2.fc",
        "decoder.generator.resblocks.2.convs1.0",
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        "decoder.generator.resblocks.2.convs2.0",
        "decoder.generator.resblocks.2.convs2.1",
        "decoder.generator.resblocks.2.convs2.2",
        "decoder.generator.resblocks.3.adain1.0.fc",
        "decoder.generator.resblocks.3.adain1.1.fc",
        "decoder.generator.resblocks.3.adain1.2.fc",
        "decoder.generator.resblocks.3.adain2.0.fc",
        "decoder.generator.resblocks.3.adain2.1.fc",
        "decoder.generator.resblocks.3.adain2.2.fc",
        "decoder.generator.resblocks.3.convs1.0",
        "decoder.generator.resblocks.3.convs1.1",
        "decoder.generator.resblocks.3.convs1.2",
        "decoder.generator.resblocks.3.convs2.0",
        "decoder.generator.resblocks.3.convs2.1",
        "decoder.generator.resblocks.3.convs2.2",
        "predictor.F0.0.conv1",
        "predictor.F0.0.conv2",
        "predictor.F0.0.norm1.fc",
        "predictor.F0.0.norm2.fc",
        "predictor.F0.1.conv1",
        "predictor.F0.1.conv1x1",
        "predictor.F0.1.conv2",
        "predictor.F0.1.norm1.fc",
        "predictor.F0.1.norm2.fc",
        "predictor.F0.2.conv1",
        "predictor.F0.2.conv2",
        "predictor.F0.2.norm1.fc",
        "predictor.F0.2.norm2.fc",
        "predictor.F0_proj",
        "predictor.N.0.conv1",
        "predictor.N.0.conv2",
        "predictor.N.0.norm1.fc",
        "predictor.N.0.norm2.fc",
        "predictor.N.1.conv1",
        "predictor.N.1.conv1x1",
        "predictor.N.1.conv2",
        "predictor.N.1.norm1.fc",
        "predictor.N.1.norm2.fc",
        "predictor.N.2.conv1",
        "predictor.N.2.conv2",
        "predictor.N.2.norm1.fc",
        "predictor.N.2.norm2.fc",
        "predictor.N_proj",
        "predictor.lstm",
        "predictor.shared",
        "predictor.text_encoder.lstms.0",
        "predictor.text_encoder.lstms.1.fc",
        "predictor.text_encoder.lstms.2",
        "predictor.text_encoder.lstms.3.fc",
        "predictor.text_encoder.lstms.4",
        "predictor.text_encoder.lstms.5.fc",
        "text_encoder.cnn.0.0",
        "text_encoder.cnn.1.0",
        "text_encoder.cnn.2.0",
        "text_encoder.lstm"
    ],
    "asr_res_dim": 64,
    "decoder_out_dim": 512,
    "hidden_dim": 512,
    "istftnet": {
        "resblock_kernel_sizes": [
            3,
            3
        ],
        "upsample_rates": [
            10,
            6
        ],
        "upsample_initial_channel": 512,
        "resblock_dilation_sizes": [
            [
                1,
                3,
                5
            ],
            [
                1,
                3,
                5
            ]
        ],
        "upsample_kernel_sizes": [
            20,
            12
        ],
        "gen_istft_n_fft": 20,
        "gen_istft_hop_size": 5
    },
    "max_conv_dim": 1024,
    "max_dur": 50,
    "model_type": "kitten_tts",
    "n_layer": 3,
    "n_mels": 80,
    "n_token": 178,
    "plbert": {
        "num_hidden_layers": 12,
        "num_attention_heads": 12,
        "hidden_size": 768,
        "intermediate_size": 2048,
        "max_position_embeddings": 512,
        "embedding_size": 128,
        "inner_group_num": 1,
        "num_hidden_groups": 1,
        "hidden_dropout_prob": 0.0,
        "attention_probs_dropout_prob": 0.0,
        "type_vocab_size": 2,
        "layer_norm_eps": 1e-12
    },
    "sample_rate": 24000,
    "speed_priors": {},
    "style_dim": 128,
    "text_encoder_kernel_size": 5,
    "voice_aliases": {
        "Bella": "expr-voice-2-f",
        "Jasper": "expr-voice-2-m",
        "Luna": "expr-voice-3-f",
        "Bruno": "expr-voice-3-m",
        "Rosie": "expr-voice-4-f",
        "Hugo": "expr-voice-4-m",
        "Kiki": "expr-voice-5-f",
        "Leo": "expr-voice-5-m"
    },
    "voices_path": "voices.npz"
}