- Implemented core model components in `modules.py` including various convolutional layers and normalization techniques. - Added transformation functions in `transforms.py` for piecewise rational quadratic transformations. - Created utility functions in `utils.py` for checkpoint management, logging, and hyperparameter handling. - Introduced monotonic alignment functionality with Cython optimization in `monotonic_align`. - Developed a minimal inference server in `server.py` to handle synthesis requests. - Updated requirements to include necessary dependencies for Cython and scipy.
33 lines
947 B
Protocol Buffer
33 lines
947 B
Protocol Buffer
syntax = "proto3";
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package tts.v1;
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option go_package = "gitea.nik4nao.com/nik/home-services/gen/tts/v1;ttsv1";
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service TTSService {
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rpc Synthesize(SynthesizeRequest) returns (SynthesizeResponse);
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rpc ListSpeakers(ListSpeakersRequest) returns (ListSpeakersResponse);
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}
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// optional fields let the gateway apply its own defaults (matching the
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// reference uma-tts-api's noise_scale=0.37, noise_scale_w=0.46,
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// length_scale=1.3) when a client omits them.
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message SynthesizeRequest {
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string speaker_name = 1;
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string text = 2;
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optional float noise_scale = 3;
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optional float noise_scale_w = 4;
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optional float length_scale = 5;
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}
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message SynthesizeResponse {
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bytes audio = 1;
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string mime_type = 2;
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}
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message ListSpeakersRequest {
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string search = 1; // case-insensitive substring filter; empty returns all speakers
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}
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message ListSpeakersResponse {
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repeated string speaker_names = 1;
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}
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